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Re-thinking Data Availability Attacks Against Deep Neural Networks CVPR 2024 Rethinking Evaluation Methods for Machine Unlearning EMNLP 2024 Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking AAAI 2024 Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space CVPR 2024 Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding COLING 2024 Revisiting Differentially Private ReLU Regression NeurIPS 2024 Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks AAAI 2024 Revisiting the Robustness of Watermarking to Paraphrasing Attacks EMNLP 2024 Revisiting Who’s Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective EMNLP 2024 RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation NeurIPS 2024 Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models? ICLR 2024 Risk Management in Image Generative Models through Model Fingerprinting AAAI 2024 ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization NeurIPS 2024 Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks ICLR 2024 RRL: Recommendation Reverse Learning AAAI 2024 Safe and Robust Watermark Injection with a Single OoD Image ICLR 2024 Safely Learning with Private Data: A Federated Learning Framework for Large Language Model EMNLP 2024 SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation ICLR 2024 SAME: Sample Reconstruction against Model Extraction Attacks AAAI 2024 SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification NeurIPS 2024 Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components AISTATS 2024 Sample-Efficient Private Learning of Mixtures of Gaussians NeurIPS 2024 Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity COLT 2024 Scalable DP-SGD: Shuffling vs. Poisson Subsampling NeurIPS 2024 Scalable Federated Unlearning via Isolated and Coded Sharding IJCAI 2024