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Adversarial Learning

4,854 papers

Papers per year

Papers

LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification AAAI 2021
Power up! Robust Graph Convolutional Network via Graph Powering AAAI 2021
Understanding Catastrophic Overfitting in Single-step Adversarial Training AAAI 2021
Token-Aware Virtual Adversarial Training in Natural Language Understanding AAAI 2021
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation AAAI 2021
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints AAAI 2021
Large Norms of CNN Layers Do Not Hurt Adversarial Robustness AAAI 2021
Stable Adversarial Learning under Distributional Shifts AAAI 2021
Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems AAAI 2021
Composite Adversarial Attacks AAAI 2021
Exacerbating Algorithmic Bias through Fairness Attacks AAAI 2021
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries AAAI 2021
Disentangled Information Bottleneck AAAI 2021
Relation-aware Graph Attention Model with Adaptive Self-adversarial Training AAAI 2021
Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability AAAI 2021
Multi-type Disentanglement without Adversarial Training AAAI 2021
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks AAAI 2021
Online Class-Incremental Continual Learning with Adversarial Shapley Value AAAI 2021
Towards Domain Invariant Single Image Dehazing AAAI 2021
Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain AAAI 2021
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration AAAI 2021
PID-Based Approach to Adversarial Attacks AAAI 2021
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations AAAI 2021
Adaptive Verifiable Training Using Pairwise Class Similarity AAAI 2021
Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback AAAI 2021