Privacy

AudioMarkBench: Benchmarking Robustness of Audio Watermarking NeurIPS 2024 Auditing Privacy Mechanisms via Label Inference Attacks NeurIPS 2024 Automated Detection and Analysis of Data Practices Using A Real-World Corpus ACL 2024 Backdoor Attacks via Machine Unlearning AAAI 2024 Backdoor Defense via Test-Time Detecting and Repairing CVPR 2024 Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs NeurIPS 2024 Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature NeurIPS 2024 Black-Box Forgetting NeurIPS 2024 Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication AAAI 2024 Building a corpus for the anonymization of Romanian jurisprudence EACL 2024 C3PA: An Open Dataset of Expert-Annotated and Regulation-Aware Privacy Policies to Enable Scalable Regulatory Compliance Audits EMNLP 2024 Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? CVPR 2024 Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models ACL 2024 Center-Based Relaxed Learning Against Membership Inference Attacks UAI 2024 CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion CVPR 2024 Chronic Poisoning: Backdoor Attack against Split Learning AAAI 2024 ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation NeurIPS 2024 Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline CVPR 2024 Computing epidemic metrics with edge differential privacy AISTATS 2024 Conditional Backdoor Attack via JPEG Compression AAAI 2024 Confidence Is All You Need for MI Attacks (Student Abstract) AAAI 2024 Confidential-DPproof: Confidential Proof of Differentially Private Training ICLR 2024 Credit Attribution and Stable Compression NeurIPS 2024 DAGER: Exact Gradient Inversion for Large Language Models NeurIPS 2024 Data Anonymization for Privacy-Preserving Large Language Model Fine-Tuning on Call Transcripts EACL 2024