Privacy
3,022 papers
Papers per year
1
2
1
3
7
10
7
18
23
40
67
136
179
302
367
511
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603
183
'15
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'25
Papers
Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains
AISTATS 2024
Proving membership in LLM pretraining data via data watermarks
ACL 2024
Pseudonymization Categories across Domain Boundaries
COLING 2024
Pseudo-Private Data Guided Model Inversion Attacks
NeurIPS 2024
PSILENCE: A Pseudonymization Tool for International Law
EACL 2024
Psychological Assessments with Large Language Models: A Privacy-Focused and Cost-Effective Approach
EACL 2024
Public-data Assisted Private Stochastic Optimization: Power and Limitations
NeurIPS 2024
Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes
ACL 2024
Pure Differential Privacy for Functional Summaries with a Laplace-like Process
JMLR 2024
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics
NeurIPS 2024
Purified and Unified Steganographic Network
CVPR 2024
Putting Context in Context: the Impact of Discussion Structure on Text Classification
EACL 2024
Quantifying and Analyzing Entity-Level Memorization in Large Language Models
AAAI 2024
Quantifying Unintended Memorization in BEST-RQ ASR Encoders
Interspeech 2024
RAFT: Realistic Attacks to Fool Text Detectors
EMNLP 2024
Ransom Access Memories: Achieving Practical Ransomware Protection in Cloud with DeftPunk
OSDI 2024
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees
NeurIPS 2024
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods
EMNLP 2024
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable
NeurIPS 2024
Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models
EMNLP 2024
RedCode: Risky Code Execution and Generation Benchmark for Code Agents
NeurIPS 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
Representation Noising: A Defence Mechanism Against Harmful Finetuning
NeurIPS 2024
Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility
AAAI 2024