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Adversarial Learning

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Papers

Towards Rotation Invariance in Object Detection ICCV 2021
Multi-Expert Adversarial Attack Detection in Person Re-Identification Using Context Inconsistency ICCV 2021
Data-Free Universal Adversarial Perturbation and Black-Box Attack ICCV 2021
On the Robustness of Vision Transformers to Adversarial Examples ICCV 2021
Learnable Boundary Guided Adversarial Training ICCV 2021
Adversarial Robustness for Unsupervised Domain Adaptation ICCV 2021
Invisible Backdoor Attack With Sample-Specific Triggers ICCV 2021
TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning ICCV 2021
Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation ICCV 2021
Naturalistic Physical Adversarial Patch for Object Detectors ICCV 2021
Semi-Supervised Active Learning for Semi-Supervised Models: Exploit Adversarial Examples With Graph-Based Virtual Labels ICCV 2021
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction ICCV 2021
Augmented Lagrangian Adversarial Attacks ICCV 2021
Meta-Attack: Class-Agnostic and Model-Agnostic Physical Adversarial Attack ICCV 2021
Unpaired Learning for High Dynamic Range Image Tone Mapping ICCV 2021
Consistency-Sensitivity Guided Ensemble Black-Box Adversarial Attacks in Low-Dimensional Spaces ICCV 2021
PointBA: Towards Backdoor Attacks in 3D Point Cloud ICCV 2021
Practical Relative Order Attack in Deep Ranking ICCV 2021
Defending Against Universal Adversarial Patches by Clipping Feature Norms ICCV 2021
Just One Moment: Structural Vulnerability of Deep Action Recognition Against One Frame Attack ICCV 2021
On Generating Transferable Targeted Perturbations ICCV 2021
Admix: Enhancing the Transferability of Adversarial Attacks ICCV 2021
LIRA: Learnable, Imperceptible and Robust Backdoor Attacks ICCV 2021
Reliably Fast Adversarial Training via Latent Adversarial Perturbation ICCV 2021
Parallel Rectangle Flip Attack: A Query-Based Black-Box Attack Against Object Detection ICCV 2021