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Adversarial Learning

1235 directly classified papers

Papers per year

Papers

Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models ACL 2021
OpenAttack: An Open-source Textual Adversarial Attack Toolkit ACL 2021
Adaptive Verifiable Training Using Pairwise Class Similarity AAAI 2021
PID-Based Approach to Adversarial Attacks AAAI 2021
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks AAAI 2021
Token-Aware Virtual Adversarial Training in Natural Language Understanding AAAI 2021
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations AAAI 2021
UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks AAAI 2021
Adversarial Training and Provable Robustness: A Tale of Two Objectives AAAI 2021
Fast Training of Provably Robust Neural Networks by SingleProp AAAI 2021
Adversarial Robustness through Disentangled Representations AAAI 2021
Adversarial Turing Patterns from Cellular Automata AAAI 2021
Efficient Certification of Spatial Robustness AAAI 2021
Initiative Defense against Facial Manipulation AAAI 2021
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification AAAI 2021
Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search AAAI 2021
Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect CVPR 2021
Delving into Data: Effectively Substitute Training for Black-box Attack CVPR 2021
Can Audio-Visual Integration Strengthen Robustness Under Multimodal Attacks? CVPR 2021
SurFree: A Fast Surrogate-Free Black-Box Attack CVPR 2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection CVPR 2021
QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval CVPR 2021
Capsule Network Is Not More Robust Than Convolutional Network CVPR 2021
Class-Aware Robust Adversarial Training for Object Detection CVPR 2021
Improving the Transferability of Adversarial Samples With Adversarial Transformations CVPR 2021