← Core AI
Artificial Intelligence › Core AI ›

Privacy

490 directly classified papers

Papers per year

Papers

Privacy-Enhancing Person Re-Identification Framework - A Dual-Stage Approach WACV 2024
An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference EMNLP 2024
Data Anonymization for Privacy-Preserving Large Language Model Fine-Tuning on Call Transcripts EACL 2024
Learn To Unlearn for Deep Neural Networks: Minimizing Unlearning Interference With Gradient Projection WACV 2024
Invariant Aggregator for Defending against Federated Backdoor Attacks AISTATS 2024
Privacy-Preserving Decentralized Actor-Critic for Cooperative Multi-Agent Reinforcement Learning AISTATS 2024
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense NIPS 2024
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models NIPS 2024
Debiasing Synthetic Data Generated by Deep Generative Models NIPS 2024
Can Simple Averaging Defeat Modern Watermarks? NIPS 2024
AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents NIPS 2024
Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval AAAI 2024
Data-mining and Extraction: the gold rush of AI on Indigenous Languages EACL 2024
GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting NIPS 2024
On the Growth of Mistakes in Differentially Private Online Learning: A Lower Bound Perspective COLT 2024
Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract COLT 2024
Detecting Personal Identifiable Information in Swedish Learner Essays EACL 2024
Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions NIPS 2024
Authorship Obfuscation in Multilingual Machine-Generated Text Detection EMNLP 2024
PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action NIPS 2024
Trap-MID: Trapdoor-based Defense against Model Inversion Attacks NIPS 2024
Invisible Image Watermarks Are Provably Removable Using Generative AI NIPS 2024
DAGER: Exact Gradient Inversion for Large Language Models NIPS 2024
Auditing Privacy Mechanisms via Label Inference Attacks NIPS 2024
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference NIPS 2024