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Adversarial Learning

2063 directly classified papers

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Papers

Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck NIPS 2021
Manipulating SGD with Data Ordering Attacks NIPS 2021
Fast Certified Robust Training with Short Warmup NIPS 2021
Backdoor Attack with Imperceptible Input and Latent Modification NIPS 2021
Adversarial Robustness with Non-uniform Perturbations NIPS 2021
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks NIPS 2021
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? NIPS 2021
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data NIPS 2021
Adversarially Robust Change Point Detection NIPS 2021
Probabilistic Margins for Instance Reweighting in Adversarial Training NIPS 2021
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training NIPS 2021
Particle Cloud Generation with Message Passing Generative Adversarial Networks NIPS 2021
Adversarial Training Helps Transfer Learning via Better Representations NIPS 2021
Morié Attack (MA): A New Potential Risk of Screen Photos NIPS 2021
Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering NIPS 2021
On the Algorithmic Stability of Adversarial Training NIPS 2021
Are Transformers more robust than CNNs? NIPS 2021
Automated Discovery of Adaptive Attacks on Adversarial Defenses NIPS 2021
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks NIPS 2021
End-to-End Unpaired Image Denoising with Conditional Adversarial Networks AAAI 2020
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets AAAI 2020
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents AAAI 2020
Fastened CROWN: Tightened Neural Network Robustness Certificates AAAI 2020
Adversarial Localized Energy Network for Structured Prediction AAAI 2020
Towards Transferable Targeted Attack CVPR 2020