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
Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss
AISTATS 2021
Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images
AAAI 2021
TAG: Gradient Attack on Transformer-based Language Models
EMNLP 2021
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
AAAI 2021
The Chinese Remainder Theorem for Compact, Task-Precise, Efficient and Secure Word Embeddings
EACL 2021
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation
ICML 2021
The Skellam Mechanism for Differentially Private Federated Learning
NeurIPS 2021
The Sparse Vector Technique, Revisited
COLT 2021
This Face Does Not Exist... But It Might Be Yours! Identity Leakage in Generative Models
WACV 2021
Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT
AISTATS 2021
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms
UAI 2021
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
NeurIPS 2021
Towards Fair and Transparent Algorithmic Systems
IJCAI 2021
Understanding Unintended Memorization in Language Models Under Federated Learning
NAACL 2021
Undistillable: Making A Nasty Teacher That CANNOT teach students
ICLR 2021
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving
EMNLP 2021
Unlearnable Examples: Making Personal Data Unexploitable
ICLR 2021
User-Level Differentially Private Learning via Correlated Sampling
NeurIPS 2021
Variational Model Inversion Attacks
NeurIPS 2021
Voice Privacy Through x-Vector and CycleGAN-Based Anonymization
Interspeech 2021
vqSGD: Vector Quantized Stochastic Gradient Descent
AISTATS 2021
WaNet - Imperceptible Warping-based Backdoor Attack
ICLR 2021
Watermarking Deep Neural Networks with Greedy Residuals
ICML 2021
When differential privacy meets NLP: The devil is in the detail
EMNLP 2021
When Does Data Augmentation Help With Membership Inference Attacks?
ICML 2021