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Adversarial Learning

4854 directly classified papers

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Papers

PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts ACL 2023
Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing AAAI 2023
Noise Based Deepfake Detection via Multi-Head Relative-Interaction AAAI 2023
The Many Faces of Adversarial Machine Learning AAAI 2023
Attack Prompt Generation for Red Teaming and Defending Large Language Models EMNLP 2023
Fraud’s Bargain Attacks to Textual Classifiers via Metropolis-Hasting Sampling (Student Abstract) AAAI 2023
ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models EMNLP 2023
GANmouflage: 3D Object Nondetection With Texture Fields CVPR 2023
Imperceptible Adversarial Attack via Invertible Neural Networks AAAI 2023
Neural Architecture Search for Wide Spectrum Adversarial Robustness AAAI 2023
CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness AAAI 2023
Deep Manifold Attack on Point Clouds via Parameter Plane Stretching AAAI 2023
Global-Local Characteristic Excited Cross-Modal Attacks from Images to Videos AAAI 2023
Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer AAAI 2023
ImageNet Pre-training Also Transfers Non-robustness AAAI 2023
DE-net: Dynamic Text-Guided Image Editing Adversarial Networks AAAI 2023
Hiding Visual Information via Obfuscating Adversarial Perturbations ICCV 2023
Backpropagation Path Search On Adversarial Transferability ICCV 2023
Boosting Adversarial Transferability via Gradient Relevance Attack ICCV 2023
SAGA: Spectral Adversarial Geometric Attack on 3D Meshes ICCV 2023
DG3D: Generating High Quality 3D Textured Shapes by Learning to Discriminate Multi-Modal Diffusion-Renderings ICCV 2023
Structure Invariant Transformation for better Adversarial Transferability ICCV 2023
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning ICCV 2023
Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective ICCV 2023
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation ICCV 2023