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Adversarial Learning

4,854 papers

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Papers

Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning AAAI 2022
Spatial Frequency Bias in Convolutional Generative Adversarial Networks AAAI 2022
Deep Reinforcement Learning Policies Learn Shared Adversarial Features across MDPs AAAI 2022
Gradient Based Activations for Accurate Bias-Free Learning AAAI 2022
Cross-Lingual Adversarial Domain Adaptation for Novice Programming AAAI 2022
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning AAAI 2022
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks AAAI 2022
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks AAAI 2022
CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks AAAI 2022
Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification AAAI 2022
Shape Prior Guided Attack: Sparser Perturbations on 3D Point Clouds AAAI 2022
Consistency Regularization for Adversarial Robustness AAAI 2022
With False Friends Like These, Who Can Notice Mistakes? AAAI 2022
Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models AAAI 2022
Robust Optimal Classification Trees against Adversarial Examples AAAI 2022
LOGICDEF: An Interpretable Defense Framework against Adversarial Examples via Inductive Scene Graph Reasoning AAAI 2022
Natural Black-Box Adversarial Examples against Deep Reinforcement Learning AAAI 2022
CLPA: Clean-Label Poisoning Availability Attacks Using Generative Adversarial Nets AAAI 2022
Programmatic Reward Design by Example AAAI 2022
Improving Bayesian Neural Networks by Adversarial Sampling AAAI 2022
Hibernated Backdoor: A Mutual Information Empowered Backdoor Attack to Deep Neural Networks AAAI 2022
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation AAAI 2022
Synthetic Disinformation Attacks on Automated Fact Verification Systems AAAI 2022
Word Level Robustness Enhancement: Fight Perturbation with Perturbation AAAI 2022
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction AAAI 2022