Privacy
3,022 papers
Papers per year
1
2
1
3
7
10
7
18
23
40
67
136
179
302
367
511
562
603
183
'15
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'25
Papers
Security and Performance in the Delegated User-level Virtualization
OSDI 2023
SegLoc: Learning Segmentation-Based Representations for Privacy-Preserving Visual Localization
CVPR 2023
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors
ICLR 2023
Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence
ACL 2023
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots
NeurIPS 2023
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles
IJCAI 2023
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning
ICLR 2023
Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection
ACL 2023
Similarity Distribution Based Membership Inference Attack on Person Re-identification
AAAI 2023
Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints
COLT 2023
Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting
ICML 2023
Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker Projection Maintenance
ICML 2023
Smooth Flipping Probability for Differential Private Sign Random Projection Methods
NeurIPS 2023
SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated Learning
NeurIPS 2023
Sparsity-Preserving Differentially Private Training of Large Embedding Models
NeurIPS 2023
SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference
ICML 2023
Split, count, and share: a differentially private set intersection cardinality estimation protocol
UAI 2023
SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning.
ICML 2023
Static and Sequential Malicious Attacks in the Context of Selective Forgetting
NeurIPS 2023
Statistical Indistinguishability of Learning Algorithms
ICML 2023
Steganography of Steganographic Networks
AAAI 2023
Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks
EMNLP 2023
STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition
ICCV 2023
Streaming Submodular Maximization with Differential Privacy
ICML 2023
Students Parrot Their Teachers: Membership Inference on Model Distillation
NeurIPS 2023