Shengshan Hu

Orcid: 0000-0003-0042-9045

According to our database¹, Shengshan Hu authored at least 69 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

FingerPattern: Securing Pattern Lock via Fingerprint-Dependent Friction Sound.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., June, 2024

Depriving the Survival Space of Adversaries Against Poisoned Gradients in Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need.

[BibT_eX]

[DOI]

CoRR, 2024

BadRobot: Jailbreaking LLM-based Embodied AI in the Physical World.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Model Watermark Stealing With Mixed Integer Programming.

[BibT_eX]

[DOI]

CoRR, 2024

Variational Bayes for Federated Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness.

[BibT_eX]

[DOI]

CoRR, 2024

Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Transferable Adversarial Facial Images for Privacy Protection.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

DarkFed: A Data-Free Backdoor Attack in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Stealthy Backdoor Attack Towards Federated Automatic Speaker Verification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

MISA: Unveiling the Vulnerabilities in Split Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

PointAPA: Towards Availability Poisoning Attacks in 3D Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the Computer Security - ESORICS 2024, 2024

ECLIPSE: Expunging Clean-Label Indiscriminate Poisons via Sparse Diffusion Purification.

[BibT_eX]

[DOI]

Proceedings of the Computer Security - ESORICS 2024, 2024

Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Corrupting Convolution-based Unlearnable Datasets with Pixel-based Image Transformations.

[BibT_eX]

[DOI]

CoRR, 2023

Why Does Little Robustness Help? Understanding Adversarial Transferability From Surrogate Training.

[BibT_eX]

[DOI]

CoRR, 2023

Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors.

[BibT_eX]

[DOI]

CoRR, 2023

AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

A Four-Pronged Defense Against Byzantine Attacks in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

PointCRT: Detecting Backdoor in 3D Point Cloud via Corruption Robustness.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Voice Guard: Protecting Voice Privacy with Strong and Imperceptible Adversarial Perturbation in the Time Domain.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Downstream-agnostic Adversarial Examples.

[BibT_eX]

[DOI]

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

Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples.

[BibT_eX]

[DOI]

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

Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency.

[BibT_eX]

[DOI]

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

Masked Language Model Based Textual Adversarial Example Detection.

[BibT_eX]

[DOI]

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

PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2022

Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation.

[BibT_eX]

[DOI]

CoRR, 2022

Evaluating Membership Inference Through Adversarial Robustness.

[BibT_eX]

[DOI]

Comput. J., 2022

Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Trust, 2022

Shielding Federated Learning: Mitigating Byzantine Attacks with Less Constraints.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Towards Privacy-Preserving Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computers and Communications, 2022

Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Attention Distraction: Watermark Removal Through Continual Learning with Selective Forgetting.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer.

[BibT_eX]

[DOI]

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

2021

BOSSA: A Decentralized System for Proofs of Data Retrievability and Replication.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2021

Shielding Collaborative Learning: Mitigating Poisoning Attacks Through Client-Side Detection.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2021

Towards Private and Scalable Cross-Media Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2021

Augmenting Encrypted Search: A Decentralized Service Realization with Enforced Execution.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2021

Challenges and approaches for mitigating byzantine attacks in federated learning.

[BibT_eX]

[DOI]

CoRR, 2021

Self-Supervised Adversarial Example Detection by Disentangled Representation.

[BibT_eX]

[DOI]

CoRR, 2021

Shielding Federated Learning: A New Attack Approach and Its Defense.

[BibT_eX]

[DOI]

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

AdvHash: Set-to-set Targeted Attack on Deep Hashing with One Single Adversarial Patch.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Feature-Indistinguishable Attack to Circumvent Trapdoor-Enabled Defense.

[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

2020

Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Hidden Voice Commands: Attacks and Defenses on the VCS of Autonomous Driving Cars.

[BibT_eX]

[DOI]

IEEE Wirel. Commun., 2019

Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection.

[BibT_eX]

[DOI]

CoRR, 2019

Augmenting Encrypted Search: A Decentralized Service Realization with Enforced Execution.

[BibT_eX]

[DOI]

CoRR, 2019

VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service.

[BibT_eX]

[DOI]

CoRR, 2019

Adversarial Examples for Automatic Speech Recognition: Attacks and Countermeasures.

[BibT_eX]

[DOI]

IEEE Commun. Mag., 2019

2018

Outsourced Biometric Identification With Privacy.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2018

InPrivate Digging: Enabling Tree-based Distributed Data Mining with Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Searching an Encrypted Cloud Meets Blockchain: A Decentralized, Reliable and Fair Realization.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

2017

Privacy-Preserving Outsourced Feature Extractions in the Cloud: A Survey.

[BibT_eX]

[DOI]

IEEE Netw., 2017

Learning privately: Privacy-preserving canonical correlation analysis for cross-media retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

2016

Jamming-Resistant Multiradio Multichannel Opportunistic Spectrum Access in Cognitive Radio Networks.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2016

Securing SIFT: Privacy-Preserving Outsourcing Computation of Feature Extractions Over Encrypted Image Data.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Securing Fast Learning! Ridge Regression over Encrypted Big Data.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

Catch me in the dark: Effective privacy-preserving outsourcing of feature extractions over image data.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

Secure Surfing: Privacy-Preserving Speeded-Up Robust Feature Extractor.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Distributed Computing Systems, 2016

SecHOG: Privacy-Preserving Outsourcing Computation of Histogram of Oriented Gradients in the Cloud.

[BibT_eX]

[DOI]

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

2015

CloudBI: Practical Privacy-Preserving Outsourcing of Biometric Identification in the Cloud.

[BibT_eX]

[DOI]

Proceedings of the Computer Security - ESORICS 2015, 2015

Shengshan Hu

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...