Privacy

Can Public Large Language Models Help Private Cross-device Federated Learning? NAACL 2024 Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks ICLR 2024 Can Simple Averaging Defeat Modern Watermarks? NeurIPS 2024 Causal Discovery Under Local Privacy CLeaR 2024 Certified Machine Unlearning via Noisy Stochastic Gradient Descent NeurIPS 2024 Certified private data release for sparse Lipschitz functions AISTATS 2024 Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing NeurIPS 2024 CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion CVPR 2024 Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning ICLR 2024 Characterizing Stereotypical Bias from Privacy-preserving Pre-Training ACL 2024 ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger NAACL 2024 Chronic Poisoning: Backdoor Attack against Split Learning AAAI 2024 CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models EMNLP 2024 Cloaked Classifiers: Pseudonymization Strategies on Sensitive Classification Tasks ACL 2024 Closing the Gap: Achieving Better Accuracy-Robustness Tradeoffs against Query-Based Attacks AAAI 2024 CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics NeurIPS 2024 Codecfake: An Initial Dataset for Detecting LLM-based Deepfake Audio Interspeech 2024 CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code EMNLP 2024 Code Membership Inference for Detecting Unauthorized Data Use in Code Pre-trained Language Models EMNLP 2024 CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following ACL 2024 Collaborative Learning across Heterogeneous Systems with Pre-Trained Models AAAI 2024 Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline CVPR 2024 Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference AAAI 2024 Combating Security and Privacy Issues in the Era of Large Language Models NAACL 2024 Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning AAAI 2024