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Adversarial Learning

2063 directly classified papers

Papers per year

Papers

Gradient Based Activations for Accurate Bias-Free Learning AAAI 2022
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks AAAI 2022
EqGNN: Equalized Node Opportunity in Graphs AAAI 2022
Natural Black-Box Adversarial Examples against Deep Reinforcement Learning AAAI 2022
MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation AAAI 2022
Enhance the Visual Representation via Discrete Adversarial Training NIPS 2022
Double Trouble: How to not Explain a Text Classifier’s Decisions Using Counterfactuals Synthesized by Masked Language Models? AACL 2022
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning AACL 2022
Robust Models are less Over-Confident NIPS 2022
DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning NIPS 2022
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness NIPS 2022
Robustness Disparities in Face Detection NIPS 2022
GAMA: Generative Adversarial Multi-Object Scene Attacks NIPS 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints NIPS 2022
Training with More Confidence: Mitigating Injected and Natural Backdoors During Training NIPS 2022
Invariance-Aware Randomized Smoothing Certificates NIPS 2022
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition NIPS 2022
Adversarial Robustness is at Odds with Lazy Training NIPS 2022
A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning NIPS 2022
Blackbox Attacks via Surrogate Ensemble Search NIPS 2022
A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks NIPS 2022
Your Out-of-Distribution Detection Method is Not Robust! NIPS 2022
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power NIPS 2022
Modeling Adversarial Noise for Adversarial Training ICML 2022
Formulating Robustness Against Unforeseen Attacks NIPS 2022