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Adversarial Learning

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Papers

Calibrated Adversarial Refinement for Stochastic Semantic Segmentation ICCV 2021
Fooling LiDAR Perception via Adversarial Trajectory Perturbation ICCV 2021
Adversarial Unsupervised Domain Adaptation With Conditional and Label Shift: Infer, Align and Iterate ICCV 2021
Adversarial Attacks on Multi-Agent Communication ICCV 2021
AdvDrop: Adversarial Attack to DNNs by Dropping Information ICCV 2021
Adversarial Attack on Deep Cross-Modal Hamming Retrieval ICCV 2021
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds ICCV 2021
Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes ICCV 2021
Improving Robustness of Facial Landmark Detection by Defending Against Adversarial Attacks ICCV 2021
Interpreting Attributions and Interactions of Adversarial Attacks ICCV 2021
DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network ICCV 2021
Generative Adversarial Registration for Improved Conditional Deformable Templates ICCV 2021
Robustness and Generalization via Generative Adversarial Training ICCV 2021
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking ICCV 2021
Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples ICLR 2021
f-Domain Adversarial Learning: Theory and Algorithms ICML 2021
Dropout: Explicit Forms and Capacity Control ICML 2021
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries ICML 2021
Sample Complexity of Robust Linear Classification on Separated Data ICML 2021
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning ICML 2021
CARTL: Cooperative Adversarially-Robust Transfer Learning ICML 2021
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation ICML 2021
Label-Only Membership Inference Attacks ICML 2021
Generalised Lipschitz Regularisation Equals Distributional Robustness ICML 2021
Mind the Box: $l_1$-APGD for Sparse Adversarial Attacks on Image Classifiers ICML 2021