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Adversarial Learning

4,854 papers

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Papers

The Best Defense Is a Good Offense: Adversarial Augmentation Against Adversarial Attacks CVPR 2023
GaitGCI: Generative Counterfactual Intervention for Gait Recognition CVPR 2023
Adversarially Masking Synthetic To Mimic Real: Adaptive Noise Injection for Point Cloud Segmentation Adaptation CVPR 2023
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts CVPR 2023
Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup CVPR 2023
Dynamic Generative Targeted Attacks With Pattern Injection CVPR 2023
PointCert: Point Cloud Classification With Deterministic Certified Robustness Guarantees CVPR 2023
Discriminator-Cooperated Feature Map Distillation for GAN Compression CVPR 2023
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning CVPR 2023
Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning CVPR 2023
AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion CVPR 2023
Reinforcement Learning-Based Black-Box Model Inversion Attacks CVPR 2023
Generalist: Decoupling Natural and Robust Generalization CVPR 2023
Single Image Backdoor Inversion via Robust Smoothed Classifiers CVPR 2023
Evading DeepFake Detectors via Adversarial Statistical Consistency CVPR 2023
Manipulating Transfer Learning for Property Inference CVPR 2023
Evading Forensic Classifiers With Attribute-Conditioned Adversarial Faces CVPR 2023
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation CVPR 2023
The Impacts of Unanswerable Questions on the Robustness of Machine Reading Comprehension Models EACL 2023
Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks EACL 2023
Learning to Ignore Adversarial Attacks EACL 2023
Learning the Legibility of Visual Text Perturbations EACL 2023
Using Punctuation as an Adversarial Attack on Deep Learning-Based NLP Systems: An Empirical Study EACL 2023
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering EACL 2023
Bridging the Gap between Native Text and Translated Text through Adversarial Learning: A Case Study on Cross-Lingual Event Extraction EACL 2023