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
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'15
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Papers (including subtopics)
DisGUIDE: Disagreement-Guided Data-Free Model Extraction
AAAI 2023
Disparate Impact in Differential Privacy from Gradient Misalignment
ICLR 2023
Diverse Community Data for Benchmarking Data Privacy Algorithms
NeurIPS 2023
Does Label Differential Privacy Prevent Label Inference Attacks?
AISTATS 2023
Domain Private Transformers for Multi-Domain Dialog Systems
EMNLP 2023
DPAUC: Differentially Private AUC Computation in Federated Learning
AAAI 2023
DP-BART for Privatized Text Rewriting under Local Differential Privacy
ACL 2023
DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization
NeurIPS 2023
Driving Context into Text-to-Text Privatization
ACL 2023
Dropout Is NOT All You Need to Prevent Gradient Leakage
AAAI 2023
Easy Differentially Private Linear Regression
ICLR 2023
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model
AAAI 2023
Empirical Study of Federated Unlearning: Efficiency and Effectiveness
ACML 2023
Encrypted Databases Made Secure Yet Maintainable
OSDI 2023
Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation
ICCV 2023
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks
AAAI 2023
ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation
AAAI 2023
ETHICIST: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation
ACL 2023
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
NeurIPS 2023
Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion
Interspeech 2023
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization
ICML 2023
Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions
COLT 2023
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning
CVPR 2023
Federated Linear Contextual Bandits with User-level Differential Privacy
ICML 2023
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation
IJCAI 2023