Adversarial Learning

Gradient-based Adversarial Attacks against Text Transformers EMNLP 2021 Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds ICLR 2021 Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs CVPR 2021 How Robust Are Randomized Smoothing Based Defenses to Data Poisoning? CVPR 2021 Improved Corruption Robust Algorithms for Episodic Reinforcement Learning ICML 2021 Improved Estimation of Concentration Under ℓ_p-Norm Distance Metrics Using Half Spaces ICLR 2021 Improving Adversarial Robustness via Unlabeled Out-of-Domain Data AISTATS 2021 Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation EMNLP 2021 Improving the Transferability of Adversarial Samples With Adversarial Transformations CVPR 2021 Improving Transferability of Adversarial Patches on Face Recognition With Generative Models CVPR 2021 Initiative Defense against Facial Manipulation AAAI 2021 Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect CVPR 2021 IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking CVPR 2021 Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks ICML 2021 KnowMAN: Weakly Supervised Multinomial Adversarial Networks EMNLP 2021 LAFEAT: Piercing Through Adversarial Defenses With Latent Features CVPR 2021 Learning Task Informed Abstractions ICML 2021 Learning To Adversarially Blur Visual Object Tracking ICCV 2021 Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation ICLR 2021 Learning to Generate Noise for Multi-Attack Robustness ICML 2021 Learning Transferable Adversarial Perturbations NeurIPS 2021 LiBRe: A Practical Bayesian Approach to Adversarial Detection CVPR 2021 Low Curvature Activations Reduce Overfitting in Adversarial Training ICCV 2021 MagDR: Mask-Guided Detection and Reconstruction for Defending Deepfakes CVPR 2021 Manipulating SGD with Data Ordering Attacks NeurIPS 2021