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Adversarial Learning

4,854 papers

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Papers

Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees ICML 2021
Fundamental Tradeoffs in Distributionally Adversarial Training ICML 2021
Mixed Nash Equilibria in the Adversarial Examples Game ICML 2021
Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling ICML 2021
A General Framework For Detecting Anomalous Inputs to DNN Classifiers ICML 2021
Enhancing Robustness of Neural Networks through Fourier Stabilization ICML 2021
GANMEX: One-vs-One Attributions using GAN-based Model Explainability ICML 2021
On Characterizing GAN Convergence Through Proximal Duality Gap ICML 2021
PopSkipJump: Decision-Based Attack for Probabilistic Classifiers ICML 2021
Model-Targeted Poisoning Attacks with Provable Convergence ICML 2021
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap ICML 2021
Approximation Theory Based Methods for RKHS Bandits ICML 2021
Efficient Training of Robust Decision Trees Against Adversarial Examples ICML 2021
Fairness of Exposure in Stochastic Bandits ICML 2021
Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss ICML 2021
Robust Learning for Data Poisoning Attacks ICML 2021
Learning to Weight Imperfect Demonstrations ICML 2021
Making Paper Reviewing Robust to Bid Manipulation Attacks ICML 2021
On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP ICML 2021
To be Robust or to be Fair: Towards Fairness in Adversarial Training ICML 2021
On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework ICML 2021
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection ICML 2021
Improving Gradient Regularization using Complex-Valued Neural Networks ICML 2021
Improved OOD Generalization via Adversarial Training and Pretraing ICML 2021
Adversarial Purification with Score-based Generative Models ICML 2021