Neil Zhenqiang Gong

Mehrdad Saberi Kamarposhti

Proc. Priv. Enhancing Technol., 2024

Securing the Future of GenAI: Policy and Technology.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2024

Making LLMs Vulnerable to Prompt Injection via Poisoning Alignment.

[BibT_eX]

[DOI]

CoRR, 2024

Automatically Generating Visual Hallucination Test Cases for Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

StringLLM: Understanding the String Processing Capability of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Evaluating Large Language Model based Personal Information Extraction and Countermeasures.

[BibT_eX]

[DOI]

CoRR, 2024

A General Framework for Data-Use Auditing of ML Models.

[BibT_eX]

[DOI]

Zonghao Huang

CoRR, 2024

Refusing Safe Prompts for Multi-modal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Self-Cognition in Large Language Models: An Exploratory Study.

[BibT_eX]

[DOI]

CoRR, 2024

Byzantine-Robust Decentralized Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

AudioMarkBench: Benchmarking Robustness of Audio Watermarking.

[BibT_eX]

[DOI]

CoRR, 2024

Stable Signature is Unstable: Removing Image Watermark from Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

PLeak: Prompt Leaking Attacks against Large Language Model Applications.

[BibT_eX]

[DOI]

CoRR, 2024

Concealing Backdoor Model Updates in Federated Learning by Trigger-Optimized Data Poisoning.

[BibT_eX]

[DOI]

Yujie Zhang

CoRR, 2024

PoisonedFL: Model Poisoning Attacks to Federated Learning via Multi-Round Consistency.

[BibT_eX]

[DOI]

Yueqi Xie

CoRR, 2024

SoK: Gradient Leakage in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Watermark-based Detection and Attribution of AI-Generated Content.

[BibT_eX]

[DOI]

CoRR, 2024

Optimization-based Prompt Injection Attack to LLM-as-a-Judge.

[BibT_eX]

[DOI]

CoRR, 2024

A Transfer Attack to Image Watermarks.

[BibT_eX]

[DOI]

CoRR, 2024

GradSafe: Detecting Unsafe Prompts for LLMs via Safety-Critical Gradient Analysis.

[BibT_eX]

[DOI]

CoRR, 2024

TrustLLM: Trustworthiness in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Poisoning Federated Recommender Systems with Fake Users.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

ModelGuard: Information-Theoretic Defense Against Model Extraction Attacks.

[BibT_eX]

[DOI]

Proceedings of the 33rd USENIX Security Symposium, 2024

Formalizing and Benchmarking Prompt Injection Attacks and Defenses.

[BibT_eX]

[DOI]

Proceedings of the 33rd USENIX Security Symposium, 2024

Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the 33rd USENIX Security Symposium, 2024

SneakyPrompt: Jailbreaking Text-to-image Generative Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Security and Privacy, 2024

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.

[BibT_eX]

[DOI]

Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, 2024

FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error.

[BibT_eX]

[DOI]

Yueqi Xie

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: TrustLLM: Trustworthiness in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Certifiably Robust Image Watermark.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents.

[BibT_eX]

[DOI]

Vyacheslav Kungurtsev

Yiran Chen

Proceedings of the Computer Vision - ECCV 2024, 2024

Data Poisoning Based Backdoor Attacks to Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Visual Hallucinations of Multi-modal Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Generation-based fuzzing? Don't build a new generator, reuse!

[BibT_eX]

[DOI]

Comput. Secur., June, 2023

Mendata: A Framework to Purify Manipulated Training Data.

[BibT_eX]

[DOI]

Zonghao Huang

CoRR, 2023

Competitive Advantage Attacks to Decentralized Federated Learning.

[BibT_eX]

[DOI]

Yuqi Jia

CoRR, 2023

Prompt Injection Attacks and Defenses in LLM-Integrated Applications.

[BibT_eX]

[DOI]

CoRR, 2023

DyVal: Graph-informed Dynamic Evaluation of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework.

[BibT_eX]

[DOI]

CoRR, 2023

PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.

[BibT_eX]

[DOI]

CoRR, 2023

SneakyPrompt: Evaluating Robustness of Text-to-image Generative Models' Safety Filters.

[BibT_eX]

[DOI]

CoRR, 2023

PrivateFL: Accurate, Differentially Private Federated Learning via Personalized Data Transformation.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

Fine-grained Poisoning Attack to Local Differential Privacy Protocols for Mean and Variance Estimation.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

PORE: Provably Robust Recommender Systems against Data Poisoning Attacks.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service.

[BibT_eX]

[DOI]

Wenjie Qu

Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

IPCert: Provably Robust Intellectual Property Protection for Machine Learning.

[BibT_eX]

[DOI]

Zhengyuan Jiang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Evading Watermark based Detection of AI-Generated Content.

[BibT_eX]

[DOI]

Zhengyuan Jiang

Jinghuai Zhang

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

FLCert: Provably Secure Federated Learning Against Poisoning Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2022

Distributed information encoding and decoding using self-organized spatial patterns.

[BibT_eX]

[DOI]

Patterns, 2022

SoK: Inference Attacks and Defenses in Human-Centered Wireless Sensing.

[BibT_eX]

[DOI]

Wei Sun

Tingjun Chen

CoRR, 2022

CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Fine-grained Poisoning Attacks to Local Differential Privacy Protocols for Mean and Variance Estimation.

[BibT_eX]

[DOI]

CoRR, 2022

StolenEncoder: Stealing Pre-trained Encoders.

[BibT_eX]

[DOI]

CoRR, 2022

Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data.

[BibT_eX]

[DOI]

Proceedings of the 31st USENIX Security Symposium, 2022

PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st USENIX Security Symposium, 2022

BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning.

[BibT_eX]

[DOI]

Yupei Liu

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples.

[BibT_eX]

[DOI]

Wenjie Qu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Deep Neural Network Piration without Accuracy Loss.

[BibT_eX]

[DOI]

Krishnendu Chakrabarty

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Addressing Heterogeneity in Federated Learning via Distributional Transformation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

HERO: hessian-enhanced robust optimization for unifying and improving generalization and quantization performance.

[BibT_eX]

[DOI]

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Membership Inference Attack in Face of Data Transformations.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE Conference on Communications and Network Security, 2022

StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

Understanding Disparate Effects of Membership Inference Attacks and their Countermeasures.

[BibT_eX]

[DOI]

Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

GraphTrack: A Graph-based Cross-Device Tracking Framework.

[BibT_eX]

[DOI]

Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

AFLGuard: Byzantine-robust Asynchronous Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Annual Computer Security Applications Conference, 2022

Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

LogExtractor: Extracting digital evidence from android log messages via string and taint analysis.

[BibT_eX]

[DOI]

Chris Chao-Chun Cheng

Chen Shi

Yong Guan

Digit. Investig., 2021

10 Security and Privacy Problems in Self-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2021

FaceGuard: Proactive Deepfake Detection.

[BibT_eX]

[DOI]

CoRR, 2021

Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention.

[BibT_eX]

[DOI]

CoRR, 2021

Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Data Poisoning Attacks and Defenses to Crowdsourcing Systems.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Stealing Links from Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 30th USENIX Security Symposium, 2021

Data Poisoning Attacks to Local Differential Privacy Protocols.

[BibT_eX]

[DOI]

Proceedings of the 30th USENIX Security Symposium, 2021

Backdoor Attacks to Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the SACMAT '21: The 26th ACM Symposium on Access Control Models and Technologies, 2021

Practical Blind Membership Inference Attack via Differential Comparisons.

[BibT_eX]

[DOI]

Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

Data Poisoning Attacks to Deep Learning Based Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping.

[BibT_eX]

[DOI]

Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

On the Intrinsic Differential Privacy of Bagging.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Understanding the Security of Deepfake Detection.

[BibT_eX]

[DOI]

Proceedings of the Digital Forensics and Cyber Crime - 12th EAI International Conference, 2021

PointGuard: Provably Robust 3D Point Cloud Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes.

[BibT_eX]

[DOI]

Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021

IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary.

[BibT_eX]

[DOI]

Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021

On Detecting Growing-Up Behaviors of Malicious Accounts in Privacy-Centric Mobile Social Networks.

[BibT_eX]

[DOI]

Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021

Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Provably Secure Federated Learning against Malicious Clients.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Certified Robustness of Nearest Neighbors against Data Poisoning Attacks.

[BibT_eX]

[DOI]

CoRR, 2020

On Certifying Robustness against Backdoor Attacks via Randomized Smoothing.

[BibT_eX]

[DOI]

CoRR, 2020

Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Influence Function based Data Poisoning Attacks to Top-N Recommender Systems.

[BibT_eX]

[DOI]

Jia Liu

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Local Model Poisoning Attacks to Byzantine-Robust Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th USENIX Security Symposium, 2020

State Estimation via Inference on a Probabilistic Graphical Model - A Different Perspective.

[BibT_eX]

[DOI]

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Defending Against Machine Learning Based Inference Attacks via Adversarial Examples: Opportunities and Challenges.

[BibT_eX]

[DOI]

Proceedings of the Adaptive Autonomous Secure Cyber Systems., 2020

2019

Structure-Based Sybil Detection in Social Networks via Local Rule-Based Propagation.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2019

Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges.

[BibT_eX]

[DOI]

CoRR, 2019

Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual Network and Distributed System Security Symposium, 2019

Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Detecting Fake Accounts in Online Social Networks at the Time of Registrations.

[BibT_eX]

[DOI]

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

Attacking Graph-based Classification via Manipulating the Graph Structure.

[BibT_eX]

[DOI]

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018

Attribute Inference Attacks in Online Social Networks.

[BibT_eX]

[DOI]

Bin Liu

ACM Trans. Priv. Secur., 2018

AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 27th USENIX Security Symposium, 2018

A Dynamic Taint Analysis Tool for Android App Forensics.

[BibT_eX]

[DOI]

Zhen Xu

Chen Shi

Chris Chao-Chun Cheng

Yong Guan

Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018

Stealing Hyperparameters in Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Symposium on Security and Privacy, 2018

SybilBlind: Detecting Fake Users in Online Social Networks Without Manual Labels.

[BibT_eX]

[DOI]

Le Zhang

Proceedings of the Research in Attacks, Intrusions, and Defenses, 2018

SYBILFUSE: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Communications and Network Security, 2018

EviHunter: Identifying Digital Evidence in the Permanent Storage of Android Devices via Static Analysis.

[BibT_eX]

[DOI]

Chris Chao-Chun Cheng

Chen Shi

Yong Guan

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

Poisoning Attacks to Graph-Based Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Computer Security Applications Conference, 2018

2017

Robust Spammer Detection in Microblogs: Leveraging User Carefulness.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2017

AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web, 2017

Fake Co-visitation Injection Attacks to Recommender Systems.

[BibT_eX]

[DOI]

Guolei Yang

Ying Cai

Proceedings of the 24th Annual Network and Distributed System Security Symposium, 2017

SybilSCAR: Sybil detection in online social networks via local rule based propagation.

[BibT_eX]

[DOI]

Le Zhang

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graphs.

[BibT_eX]

[DOI]

Hao Fu

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

PIANO: Proximity-Based User Authentication on Voice-Powered Internet-of-Things Devices.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Random Walk Based Fake Account Detection in Online Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2017

Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification.

[BibT_eX]

[DOI]

Proceedings of the 33rd Annual Computer Security Applications Conference, 2017

2016

Structural Analysis of User Choices for Mobile App Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2016

Seed-Based De-Anonymizability Quantification of Social Networks.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2016

You Are Who You Know and How You Behave: Attribute Inference Attacks via Users' Social Friends and Behaviors.

[BibT_eX]

[DOI]

Bin Liu

Proceedings of the 25th USENIX Security Symposium, 2016

Forgery-Resistant Touch-based Authentication on Mobile Devices.

[BibT_eX]

[DOI]

Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security, 2016

2015

What You Submit Is Who You Are: A Multimodal Approach for Deanonymizing Scientific Publications.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2015

Towards Forgery-Resistant Touch-based Biometric Authentication on Mobile Devices.

[BibT_eX]

[DOI]

CoRR, 2015

SybilFrame: A Defense-in-Depth Framework for Structure-Based Sybil Detection.

[BibT_eX]

[DOI]

CoRR, 2015

Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference.

[BibT_eX]

[DOI]

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

On Your Social Network De-anonymizablity: Quantification and Large Scale Evaluation with Seed Knowledge.

[BibT_eX]

[DOI]

Proceedings of the 22nd Annual Network and Distributed System Security Symposium, 2015

Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Joint Link Prediction and Attribute Inference Using a Social-Attribute Network.

[BibT_eX]

[DOI]

Eui Chul Richard Shin

Emil Stefanov

Elaine Shi

ACM Trans. Intell. Syst. Technol., 2014

On the Security of Trustee-Based Social Authentications.

[BibT_eX]

[DOI]

Di Wang

IEEE Trans. Inf. Forensics Secur., 2014

SybilBelief: A Semi-Supervised Learning Approach for Structure-Based Sybil Detection.

[BibT_eX]

[DOI]

Mario Frank

Prateek Mittal

IEEE Trans. Inf. Forensics Secur., 2014

Reciprocal versus parasocial relationships in online social networks.

[BibT_eX]

[DOI]

Wenchang Xu

Soc. Netw. Anal. Min., 2014

Connect the dots by understanding user status and transitions.

[BibT_eX]

[DOI]

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

2013

Reciprocity in Social Networks: Measurements, Predictions, and Implications

[BibT_eX]

[DOI]

Wenchang Xu

CoRR, 2013

2012

On the Feasibility of Internet-Scale Author Identification.

[BibT_eX]

[DOI]

Eui Chul Richard Shin

Proceedings of the IEEE Symposium on Security and Privacy, 2012

Evolution of social-attribute networks: measurements, modeling, and implications using google+.

[BibT_eX]

[DOI]

Proceedings of the 12th ACM SIGCOMM Internet Measurement Conference, 2012

2011

Predicting Links and Inferring Attributes using a Social-Attribute Network (SAN)

[BibT_eX]

[DOI]

Eui Chul Richard Shin

Emil Stefanov

Elaine Shi

CoRR, 2011

Efficient Top-K Query Algorithms Using Density Index.

[BibT_eX]

[DOI]

Proceedings of the Applied Informatics and Communication - International Conference, 2011

Efficient Approximate Top-k Query Algorithm Using Cube Index.

[BibT_eX]

[DOI]

Dongqu Chen

Guang-Zhong Sun

Proceedings of the Web Technologies and Applications - 13th Asia-Pacific Web Conference, 2011

2010

Protecting Privacy in Location-Based Services Using K-Anonymity without Cloaked Region.

[BibT_eX]

[DOI]