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Adversarial Learning

2063 directly classified papers

Papers per year

Papers

NeRFail: Neural Radiance Fields-Based Multiview Adversarial Attack AAAI 2024
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification JMLR 2024
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training JMLR 2024
Distraction is All You Need: Memory-Efficient Image Immunization against Diffusion-Based Image Editing CVPR 2024
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification JMLR 2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training CVPR 2024
Random Entangled Tokens for Adversarially Robust Vision Transformer CVPR 2024
Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing AAAI 2024
Towards Transferable Targeted 3D Adversarial Attack in the Physical World CVPR 2024
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP CVPR 2024
Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts CVPR 2024
EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection CVPR 2024
Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers CVPR 2024
Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks AAAI 2024
CAD: Photorealistic 3D Generation via Adversarial Distillation CVPR 2024
On the Convergence of an Adaptive Momentum Method for Adversarial Attacks AAAI 2024
Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning CVPR 2024
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias AISTATS 2024
Revisiting Adversarial Training at Scale CVPR 2024
Training Implicit Generative Models via an Invariant Statistical Loss AISTATS 2024
A Closer Look at Curriculum Adversarial Training: From an Online Perspective AAAI 2024
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models CVPR 2024
Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks AAAI 2024
Clarifying the Behavior and the Difficulty of Adversarial Training AAAI 2024
Testing Generated Distributions in GANs to Penalize Mode Collapse AISTATS 2024