2024
Edge-Protected Triangle Count Estimation Under Relationship Local Differential Privacy.
IEEE Trans. Knowl. Data Eng., October, 2024
ExpShield: Safeguarding Web Text from Unauthorized Crawling and Language Modeling Exploitation.
CoRR, 2024
Towards Understanding Unsafe Video Generation.
CoRR, 2024
TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents.
CoRR, 2024
VGMShield: Mitigating Misuse of Video Generative Models.
CoRR, 2024
PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining.
Proceedings of the 33rd USENIX Security Symposium, 2024
Preserving Node-level Privacy in Graph Neural Networks.
Proceedings of the IEEE Symposium on Security and Privacy, 2024
Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets.
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Proceedings of the IEEE Symposium on Security and Privacy, 2024
NetDPSyn: Synthesizing Network Traces under Differential Privacy.
Proceedings of the 2024 ACM on Internet Measurement Conference, 2024
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024
Benchmarking Secure Sampling Protocols for Differential Privacy.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024
Machine Unlearning of Pre-trained Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Backdoor Attacks via Machine Unlearning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Differentially Private Vertical Federated Clustering.
Proc. VLDB Endow., 2023
Practical Differentially Private and Byzantine-resilient Federated Learning.
Proc. ACM Manag. Data, 2023
PURE: A Framework for Analyzing Proximity-based Contact Tracing Protocols.
ACM Comput. Surv., 2023
Black-box Membership Inference Attacks against Fine-tuned Diffusion Models.
CoRR, 2023
A Somewhat Robust Image Watermark against Diffusion-based Editing Models.
CoRR, 2023
Meticulously Selecting 1% of the Dataset for Pre-training! Generating Differentially Private Images Data with Semantics Query.
CoRR, 2023
Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning.
CoRR, 2023
White-box Membership Inference Attacks against Diffusion Models.
CoRR, 2023
Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing Inference Serving Systems.
CoRR, 2023
Differentially Private Wireless Federated Learning Using Orthogonal Sequences.
CoRR, 2023
A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots.
Proceedings of the 32nd USENIX Security Symposium, 2023
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Models.
Proceedings of the 32nd USENIX Security Symposium, 2023
FACE-AUDITOR: Data Auditing in Facial Recognition Systems.
Proceedings of the 32nd USENIX Security Symposium, 2023
GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?
Proceedings of the Eleventh International Conference on Learning Representations, 2023
FLORAS: Differentially Private Wireless Federated Learning Using Orthogonal Sequences.
Proceedings of the IEEE International Conference on Communications, 2023
Securely Sampling Discrete Gaussian Noise for Multi-Party Differential Privacy.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
Mitigating Membership Inference Attacks via Weighted Smoothing.
Proceedings of the Annual Computer Security Applications Conference, 2023
Differentially Private Resource Allocation.
Proceedings of the Annual Computer Security Applications Conference, 2023
2022
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model.
CoRR, 2022
Memorization in NLP Fine-tuning Methods.
CoRR, 2022
Using Illustrations to Communicate Differential Privacy Trust Models: An Investigation of Users' Comprehension, Perception, and Data Sharing Decision.
CoRR, 2022
Locally Differentially Private Sparse Vector Aggregation.
Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022
PFed-LDP: A Personalized Federated Local Differential Privacy Framework for IoT Sensing Data.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022
An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Federated Boosted Decision Trees with Differential Privacy.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022
2021
Analyzing Sensitive Data with Local Differential Privacy
PhD thesis, 2021
Locally Differentially Private Heavy Hitter Identification.
IEEE Trans. Dependable Secur. Comput., 2021
DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges.
J. Priv. Confidentiality, 2021
PrivSyn: Differentially Private Data Synthesis.
Proceedings of the 30th USENIX Security Symposium, 2021
MGD: A Utility Metric for Private Data Publication.
Proceedings of the 8th NSysS 2021: 8th International Conference on Networking, Systems and Security, Cox's Bazar, Bangladesh, December 21, 2021
When Machine Unlearning Jeopardizes Privacy.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021
Continuous Release of Data Streams under both Centralized and Local Differential Privacy.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021
Differential Privacy for Text Analytics via Natural Text Sanitization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Answering Multi-Dimensional Range Queries under Local Differential Privacy.
Proc. VLDB Endow., 2020
Collecting and Analyzing Data Jointly from Multiple Services under Local Differential Privacy.
Proc. VLDB Endow., 2020
Improving Utility and Security of the Shuffler-based Differential Privacy.
Proc. VLDB Endow., 2020
Towards Effective Differential Privacy Communication for Users' Data Sharing Decision and Comprehension.
Proceedings of the 2020 IEEE Symposium on Security and Privacy, 2020
Estimating Numerical Distributions under Local Differential Privacy.
Proceedings of the 2020 International Conference on Management of Data, 2020
Locally Differentially Private Frequency Estimation with Consistency.
Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020
2019
DPSAaS: Multi-Dimensional Data Sharing and Analytics as Services under Local Differential Privacy.
Proc. VLDB Endow., 2019
Practical and Robust Privacy Amplification with Multi-Party Differential Privacy.
CoRR, 2019
Consistent and Accurate Frequency Oracles under Local Differential Privacy.
CoRR, 2019
Answering Multi-Dimensional Analytical Queries under Local Differential Privacy.
Proceedings of the 2019 International Conference on Management of Data, 2019
Koinonia: verifiable e-voting with long-term privacy.
Proceedings of the 35th Annual Computer Security Applications Conference, 2019
2018
Locally Differentially Private Frequent Itemset Mining.
Proceedings of the 2018 IEEE Symposium on Security and Privacy, 2018
Privacy at Scale: Local Differential Privacy in Practice.
Proceedings of the 2018 International Conference on Management of Data, 2018
CALM: Consistent Adaptive Local Marginal for Marginal Release under Local Differential Privacy.
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018
2017
Optimizing Locally Differentially Private Protocols.
CoRR, 2017
Locally Differentially Private Protocols for Frequency Estimation.
Proceedings of the 26th USENIX Security Symposium, 2017
2016
Secure Dynamic SSE via Access Indistinguishable Storage.
Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security, 2016
On the Security and Usability of Segment-based Visual Cryptographic Authentication Protocols.
Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, 2016
2014
Weight Balancing on Boundaries and Skeletons.
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Proceedings of the 30th Annual Symposium on Computational Geometry, 2014