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Security & Privacy

1,222 papers (5 classified directly here)

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Papers (including subtopics)

Risk Management in Image Generative Models through Model Fingerprinting AAAI 2024 ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization NeurIPS 2024 Robust Communicative Multi-Agent Reinforcement Learning with Active Defense AAAI 2024 SAME: Sample Reconstruction against Model Extraction Attacks AAAI 2024 Scalable DP-SGD: Shuffling vs. Poisson Subsampling NeurIPS 2024 Scalable Federated Unlearning via Isolated and Coded Sharding IJCAI 2024 Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption AAAI 2024 Securing Multi-turn Conversational Language Models From Distributed Backdoor Attacks EMNLP 2024 Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients EMNLP 2024 Self-Recognition in Language Models EMNLP 2024 Smooth Lower Bounds for Differentially Private Algorithms via Padding-and-Permuting Fingerprinting Codes COLT 2024 Some Constructions of Private, Efficient, and Optimal K-Norm and Elliptic Gaussian Noise COLT 2024 Spoof Diarization: "What Spoofed When" in Partially Spoofed Audio Interspeech 2024 SynthProv: Interpretable Framework for Profiling Identity Leakage WACV 2024 Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion EMNLP 2024 Text Embedding Inversion Security for Multilingual Language Models ACL 2024 The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG) ACL 2024 The Limits of Differential Privacy in Online Learning NeurIPS 2024 The Relative Gaussian Mechanism and its Application to Private Gradient Descent AISTATS 2024 Towards More Realistic Membership Inference Attacks on Large Diffusion Models WACV 2024 Towards the Robustness of Differentially Private Federated Learning AAAI 2024 TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution AAAI 2024 Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy ICLR 2024 Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries ACL 2024 Trap-MID: Trapdoor-based Defense against Model Inversion Attacks NeurIPS 2024