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Adversarial Learning

4,854 papers

Papers per year

Papers

On the Limitations of Stochastic Pre-processing Defenses NIPS 2022
SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training NIPS 2022
Toward Efficient Robust Training against Union of $\ell_p$ Threat Models NIPS 2022
On the Tradeoff Between Robustness and Fairness NIPS 2022
Can Adversarial Training Be Manipulated By Non-Robust Features? NIPS 2022
CoPur: Certifiably Robust Collaborative Inference via Feature Purification NIPS 2022
Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders NIPS 2022
MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack NIPS 2022
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors NIPS 2022
Autoregressive Perturbations for Data Poisoning NIPS 2022
Byzantine Spectral Ranking NIPS 2022
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias NIPS 2022
Retrospective Adversarial Replay for Continual Learning NIPS 2022
Adversarial Reprogramming Revisited NIPS 2022
Class-Aware Adversarial Transformers for Medical Image Segmentation NIPS 2022
MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators NIPS 2022
Amplifying Membership Exposure via Data Poisoning NIPS 2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation NIPS 2022
Revisiting Injective Attacks on Recommender Systems NIPS 2022
VoiceBlock: Privacy through Real-Time Adversarial Attacks with Audio-to-Audio Models NIPS 2022
Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free NIPS 2022
On Optimal Learning Under Targeted Data Poisoning NIPS 2022
Adversarial Task Up-sampling for Meta-learning NIPS 2022
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems NIPS 2022
BagFlip: A Certified Defense Against Data Poisoning NIPS 2022