Privacy

A teacher-teacher framework for clinical language representation learning NeurIPS 2024 Attack-Aware Noise Calibration for Differential Privacy NeurIPS 2024 Auditing Privacy Mechanisms via Label Inference Attacks NeurIPS 2024 A Unified Characterization of Private Learnability via Graph Theory COLT 2024 Automated Anonymization of Parole Hearing Transcripts EMNLP 2024 Automatic Detection and Labelling of Personal Data in Case Reports from the ECHR in Spanish: Evaluation of Two Different Annotation Approaches EACL 2024 Automatic Extraction of Disease Risk Factors from Medical Publications ACL 2024 Backdoor Attacks on Multilingual Machine Translation NAACL 2024 Backdoor Defense via Test-Time Detecting and Repairing CVPR 2024 BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning CVPR 2024 Banded Square Root Matrix Factorization for Differentially Private Model Training NeurIPS 2024 Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks ICLR 2024 Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs NeurIPS 2024 Beyond Memorization: Violating Privacy via Inference with Large Language Models ICLR 2024 Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression EMNLP 2024 Beyond Slow Signs in High-fidelity Model Extraction NeurIPS 2024 Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature NeurIPS 2024 Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication AAAI 2024 BRUSLEATTACK: A QUERY-EFFICIENT SCORE- BASED BLACK-BOX SPARSE ADVERSARIAL ATTACK ICLR 2024 Building Certified Medical Chatbots: Overcoming Unstructured Data Limitations with Modular RAG COLING 2024 Byzantine-Robust Decentralized Learning via Remove-then-Clip Aggregation AAAI 2024 C3PA: An Open Dataset of Expert-Annotated and Regulation-Aware Privacy Policies to Enable Scalable Regulatory Compliance Audits EMNLP 2024 Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach NeurIPS 2024 Can LLMs get help from other LLMs without revealing private information? ACL 2024 Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? CVPR 2024