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Adversarial Learning

1235 directly classified papers

Papers per year

Papers

Universal Spectral Adversarial Attacks for Deformable Shapes CVPR 2021
Adversarial Imaging Pipelines CVPR 2021
MagDR: Mask-Guided Detection and Reconstruction for Defending Deepfakes CVPR 2021
PointGuard: Provably Robust 3D Point Cloud Classification CVPR 2021
Zero-Shot Adversarial Quantization CVPR 2021
Architectural Adversarial Robustness: The Case for Deep Pursuit CVPR 2021
Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection CVPR 2021
Improving Transferability of Adversarial Patches on Face Recognition With Generative Models CVPR 2021
Defending Multimodal Fusion Models Against Single-Source Adversaries CVPR 2021
BASAR:Black-Box Attack on Skeletal Action Recognition CVPR 2021
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking CVPR 2021
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs CVPR 2021
Simulating Unknown Target Models for Query-Efficient Black-Box Attacks CVPR 2021
How Robust Are Randomized Smoothing Based Defenses to Data Poisoning? CVPR 2021
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries CVPR 2021
Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization CVPR 2021
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink CVPR 2021
Towards Evaluating and Training Verifiably Robust Neural Networks CVPR 2021
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation ICML 2021
Adversarial Purification with Score-based Generative Models ICML 2021
Model-Targeted Poisoning Attacks with Provable Convergence ICML 2021
PAC-Learning for Strategic Classification ICML 2021
PopSkipJump: Decision-Based Attack for Probabilistic Classifiers ICML 2021
Enhancing Robustness of Neural Networks through Fourier Stabilization ICML 2021
Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling ICML 2021