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08/23/2023
RemovalNet: DNN Fingerprint Removal Attacks
With the performance of deep neural networks (DNNs) remarkably improving...
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08/10/2023
FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis
Deep learning classifiers achieve state-of-the-art performance in variou...
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08/05/2023
PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification
Large language models (LLMs) have witnessed a meteoric rise in popularit...
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06/29/2023
SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores
Numerous studies have underscored the significant privacy risks associat...
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06/20/2023
FDINet: Protecting against DNN Model Extraction via Feature Distortion Index
Machine Learning as a Service (MLaaS) platforms have gained popularity d...
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04/06/2023
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding
Knowledge Graph Embedding (KGE) is a fundamental technique that extracts...
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11/14/2022
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
Copyright protection of the Federated Learning (FL) model has become a m...
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10/04/2022
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization
Vertical Federated Learning (FL) is a new paradigm that enables users wi...
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09/29/2022
L-SRR: Local Differential Privacy for Location-Based Services with Staircase Randomized Response
Location-based services (LBS) have been significantly developed and wide...
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06/05/2022
Vanilla Feature Distillation for Improving the Accuracy-Robustness Trade-Off in Adversarial Training
Adversarial training has been widely explored for mitigating attacks aga...
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02/05/2022
Backdoor Defense via Decoupling the Training Process
Recent studies have revealed that deep neural networks (DNNs) are vulner...
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07/29/2021
Feature Importance-aware Transferable Adversarial Attacks
Transferability of adversarial examples is of central importance for att...
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09/29/2020
DUMP: A Dummy-Point-Based Framework for Histogram Estimation in Shuffle Model
In Central Differential Privacy (CDP), there is a trusted analyst who co...
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10/10/2018
Towards Differentially Private Truth Discovery for Crowd Sensing Systems
Nowadays, crowd sensing becomes increasingly more popular due to the ubi...
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08/24/2018
