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Security & Privacy

1,222 papers (5 classified directly here)

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Papers (including subtopics)

Truthful High Dimensional Sparse Linear Regression NeurIPS 2024 Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense NeurIPS 2024 Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement NeurIPS 2024 Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification NeurIPS 2024 Universal Exact Compression of Differentially Private Mechanisms NeurIPS 2024 Universally Instance-Optimal Mechanisms for Private Statistical Estimation COLT 2024 Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning EMNLP 2024 Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness NeurIPS 2024 User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates AISTATS 2024 VoiceDefense: Protecting Automatic Speaker Verification Models Against Black-box Adversarial Attacks Interspeech 2024 Wasserstein Differential Privacy AAAI 2024 WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks NeurIPS 2024 When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search NeurIPS 2024 k-Means Clustering with Distance-Based Privacy NeurIPS 2023 Active Membership Inference Attack under Local Differential Privacy in Federated Learning AISTATS 2023 A Customized Text Sanitization Mechanism with Differential Privacy ACL 2023 Adaptive False Discovery Rate Control with Privacy Guarantee JMLR 2023 Addax: A fast, private, and accountable ad exchange infrastructure NSDI 2023 Algorithmically Effective Differentially Private Synthetic Data COLT 2023 Algorithms for bounding contribution for histogram estimation under user-level privacy ICML 2023 A Pretty Fast Algorithm for Adaptive Private Mean Estimation COLT 2023 A Randomized Approach to Tight Privacy Accounting NeurIPS 2023 A Smooth Binary Mechanism for Efficient Private Continual Observation NeurIPS 2023 Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks EMNLP 2023 Attention-Enhancing Backdoor Attacks Against BERT-based Models EMNLP 2023