Privacy

Protecting Split Learning by Potential Energy Loss IJCAI 2024 Protecting Your LLMs with Information Bottleneck NeurIPS 2024 Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains AISTATS 2024 Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage EACL 2024 ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods EMNLP 2024 Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models EMNLP 2024 Reducing Privacy Risks in Online Self-Disclosures with Language Models ACL 2024 Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference NeurIPS 2024 Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment AAAI 2024 Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference NeurIPS 2024 Revisiting the Robustness of Watermarking to Paraphrasing Attacks EMNLP 2024 RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models NeurIPS 2024 Sandwich attack: Multi-language Mixture Adaptive Attack on LLMs NAACL 2024 Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients EMNLP 2024 SILENCE: Protecting privacy in offloaded speech understanding on resource-constrained devices NeurIPS 2024 Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models NeurIPS 2024 Some Constructions of Private, Efficient, and Optimal K-Norm and Elliptic Gaussian Noise COLT 2024 Stealthy Attack on Large Language Model based Recommendation ACL 2024 StegaStyleGAN: Towards Generic and Practical Generative Image Steganography AAAI 2024 TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models NeurIPS 2024 Test-Time Domain Generalization for Face Anti-Spoofing CVPR 2024 The Limits of Differential Privacy in Online Learning NeurIPS 2024 THInImg: Cross-Modal Steganography for Presenting Talking Heads in Images WACV 2024 Towards Memorization-Free Diffusion Models CVPR 2024 Towards Robust Evaluation of Unlearning in LLMs via Data Transformations EMNLP 2024