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Adversarial Learning

2063 directly classified papers

Papers per year

Papers

IberianVoxel: Automatic Completion of Iberian Ceramics for Cultural Heritage Studies IJCAI 2023
IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse IJCAI 2023
Boundary-Aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval CVPR 2023
Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks CVPR 2023
Proximal Splitting Adversarial Attack for Semantic Segmentation CVPR 2023
Towards Transferable Targeted Adversarial Examples CVPR 2023
Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions CVPR 2023
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression CVPR 2023
SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples CVPR 2023
Adversarial Counterfactual Visual Explanations CVPR 2023
Physically Adversarial Infrared Patches With Learnable Shapes and Locations CVPR 2023
Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking CVPR 2023
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning AAAI 2023
Combining Adversaries with Anti-adversaries in Training AAAI 2023
RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts CVPR 2023
Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition CVPR 2023
Domain Adaptation with Adversarial Training on Penultimate Activations AAAI 2023
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks AAAI 2023
Cooperative and Adversarial Learning: Co-enhancing Discriminability and Transferability in Domain Adaptation AAAI 2023
State-Conditioned Adversarial Subgoal Generation AAAI 2023
An Analysis of Robustness of Non-Lipschitz Networks JMLR 2023
Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples AAAI 2023
DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness AAAI 2023
PosterLayout: A New Benchmark and Approach for Content-Aware Visual-Textual Presentation Layout CVPR 2023
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions JMLR 2023