Privacy
717 papers
Papers per year
1
2
1
2
2
2
5
3
18
12
32
57
74
92
143
226
45
'15
'20
'25
Papers
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
ACL 2024
The Limits of Differential Privacy in Online Learning
NeurIPS 2024
Towards More Realistic Membership Inference Attacks on Large Diffusion Models
WACV 2024
TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution
AAAI 2024
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries
ACL 2024
Trap-MID: Trapdoor-based Defense against Model Inversion Attacks
NeurIPS 2024
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense
NeurIPS 2024
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
NeurIPS 2024
Universal Exact Compression of Differentially Private Mechanisms
NeurIPS 2024
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
EMNLP 2024
Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness
NeurIPS 2024
VoiceDefense: Protecting Automatic Speaker Verification Models Against Black-box Adversarial Attacks
Interspeech 2024
WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks
NeurIPS 2024
When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search
NeurIPS 2024
Active Membership Inference Attack under Local Differential Privacy in Federated Learning
AISTATS 2023
A Customized Text Sanitization Mechanism with Differential Privacy
ACL 2023
Addax: A fast, private, and accountable ad exchange infrastructure
NSDI 2023
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks
EMNLP 2023
Attention-Enhancing Backdoor Attacks Against BERT-based Models
EMNLP 2023
Automated De-Identification of Arabic Medical Records
EMNLP 2023
Bayesian Estimation of Differential Privacy
ICML 2023
Boomerang: Metadata-Private Messaging under Hardware Trust
NSDI 2023
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information
NeurIPS 2023
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
ICLR 2023
CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search
CVPR 2023