Security & Privacy
1,222 papers (5 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
2
1
2
1
6
9
6
10
8
12
35
41
55
102
169
174
237
282
69
'10
'15
'20
'25
Papers (including subtopics)
Truthful High Dimensional Sparse Linear Regression
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
Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification
NeurIPS 2024
Universal Exact Compression of Differentially Private Mechanisms
NeurIPS 2024
Universally Instance-Optimal Mechanisms for Private Statistical Estimation
COLT 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
User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates
AISTATS 2024
VoiceDefense: Protecting Automatic Speaker Verification Models Against Black-box Adversarial Attacks
Interspeech 2024
Wasserstein Differential Privacy
AAAI 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
k-Means Clustering with Distance-Based Privacy
NeurIPS 2023
Active Membership Inference Attack under Local Differential Privacy in Federated Learning
AISTATS 2023
A Customized Text Sanitization Mechanism with Differential Privacy
ACL 2023
Adaptive False Discovery Rate Control with Privacy Guarantee
JMLR 2023
Addax: A fast, private, and accountable ad exchange infrastructure
NSDI 2023
Algorithmically Effective Differentially Private Synthetic Data
COLT 2023
Algorithms for bounding contribution for histogram estimation under user-level privacy
ICML 2023
A Pretty Fast Algorithm for Adaptive Private Mean Estimation
COLT 2023
A Randomized Approach to Tight Privacy Accounting
NeurIPS 2023
A Smooth Binary Mechanism for Efficient Private Continual Observation
NeurIPS 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