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Adversarial Learning

1235 directly classified papers

Papers per year

Papers

Mixed Nash Equilibria in the Adversarial Examples Game ICML 2021
Learning to Generate Noise for Multi-Attack Robustness ICML 2021
Elastic Graph Neural Networks ICML 2021
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness NIPS 2021
Globally-Robust Neural Networks ICML 2021
SPECTRE: defending against backdoor attacks using robust statistics ICML 2021
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise ICML 2021
Mind the Box: $l_1$-APGD for Sparse Adversarial Attacks on Image Classifiers ICML 2021
Generalised Lipschitz Regularisation Equals Distributional Robustness ICML 2021
Gradient-based Adversarial Attacks against Text Transformers EMNLP 2021
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning ICML 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned Data NIPS 2021
A Unified Multi-Scenario Attacking Network for Visual Object Tracking AAAI 2021
Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions AAAI 2021
Randomized Generation of Adversary-aware Fake Knowledge Graphs to Combat Intellectual Property Theft AAAI 2021
Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems AAAI 2021
Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks AAAI 2021
Towards Feature Space Adversarial Attack by Style Perturbation AAAI 2021
DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation AAAI 2021
Amata: An Annealing Mechanism for Adversarial Training Acceleration AAAI 2021
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption AAAI 2021
Generating Natural Language Attacks in a Hard Label Black Box Setting AAAI 2021
Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks AAAI 2021
Generating Adversarial yet Inconspicuous Patches with a Single Image (Student Abstract) AAAI 2021
A Context Aware Approach for Generating Natural Language Attacks AAAI 2021