conftrace_
← Learning Types
Machine Learning › Learning Types ›

Adversarial Learning

4,854 papers

Papers per year

Papers

Adversarially Robust Neural Architecture Search for Graph Neural Networks CVPR 2023
T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection CVPR 2023
Dual-Bridging With Adversarial Noise Generation for Domain Adaptive rPPG Estimation CVPR 2023
Improving the Transferability of Adversarial Samples by Path-Augmented Method CVPR 2023
Trade-Off Between Robustness and Accuracy of Vision Transformers CVPR 2023
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks CVPR 2023
PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training CVPR 2023
Enhancing the Self-Universality for Transferable Targeted Attacks CVPR 2023
Randomized Adversarial Training via Taylor Expansion CVPR 2023
Semi-Supervised Hand Appearance Recovery via Structure Disentanglement and Dual Adversarial Discrimination CVPR 2023
Detecting Backdoors in Pre-Trained Encoders CVPR 2023
Sequential Training of GANs Against GAN-Classifiers Reveals Correlated "Knowledge Gaps" Present Among Independently Trained GAN Instances CVPR 2023
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger CVPR 2023
Ensemble-Based Blackbox Attacks on Dense Prediction CVPR 2023
Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation CVPR 2023
Progressive Backdoor Erasing via Connecting Backdoor and Adversarial Attacks CVPR 2023
Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision CVPR 2023
Feature Separation and Recalibration for Adversarial Robustness CVPR 2023
Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks CVPR 2023
Angelic Patches for Improving Third-Party Object Detector Performance CVPR 2023
AltFreezing for More General Video Face Forgery Detection CVPR 2023
You Are Catching My Attention: Are Vision Transformers Bad Learners Under Backdoor Attacks? CVPR 2023
CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search CVPR 2023
BiasAdv: Bias-Adversarial Augmentation for Model Debiasing CVPR 2023
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling CVPR 2023