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Adversarial Learning

1235 directly classified papers

Papers per year

Papers

DeepRobust: a Platform for Adversarial Attacks and Defenses AAAI 2021
SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models AAAI 2021
Class-Disentanglement and Applications in Adversarial Detection and Defense NIPS 2021
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness NIPS 2021
Adversarial Robustness with Non-uniform Perturbations NIPS 2021
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks NIPS 2021
Morié Attack (MA): A New Potential Risk of Screen Photos NIPS 2021
Robust Deep Reinforcement Learning through Adversarial Loss NIPS 2021
Automated Discovery of Adaptive Attacks on Adversarial Defenses NIPS 2021
Evaluating Deception Detection Model Robustness To Linguistic Variation NAACL 2021
Understanding Robustness in Teacher-Student Setting: A New Perspective AISTATS 2021
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data AISTATS 2021
Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case AISTATS 2021
Adv-OLM: Generating Textual Adversaries via OLM EACL 2021
Accelerated Learning with Robustness to Adversarial Regressors L4DC 2021
Adversarially robust learning for security-constrained optimal power flow NIPS 2021
Excess Capacity and Backdoor Poisoning NIPS 2021
Manipulating SGD with Data Ordering Attacks NIPS 2021
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns ACL 2021
Crafting Adversarial Examples for Neural Machine Translation ACL 2021
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger’s Adversarial Attacks ACL 2021
Adversarial Learning for Discourse Rhetorical Structure Parsing ACL 2021
Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution ACL 2021
Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble ACL 2021
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study ACL 2021