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Adversarial Learning

5,204 papers

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Papers

Breaking a Classical Barrier for Classifying Arbitrary Test Examples in the Quantum Model AISTATS 2023 Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models ICCV 2023 Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework ACL 2023 Bridging the Gap between Native Text and Translated Text through Adversarial Learning: A Case Study on Cross-Lingual Event Extraction EACL 2023 Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting ICML 2023 Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents NeurIPS 2023 CamoPatch: An Evolutionary Strategy for Generating Camoflauged Adversarial Patches NeurIPS 2023 Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries ICLR 2023 CASN:Class-Aware Score Network for Textual Adversarial Detection ACL 2023 CAT: Closed-loop Adversarial Training for Safe End-to-End Driving CoRL 2023 CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems AAAI 2023 Center-Aware Adversarial Augmentation for Single Domain Generalization WACV 2023 (Certified!!) Adversarial Robustness for Free! ICLR 2023 Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation ICLR 2023 Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization NeurIPS 2023 Certified Robust Neural Networks: Generalization and Corruption Resistance ICML 2023 CFA: Class-Wise Calibrated Fair Adversarial Training CVPR 2023 Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning ICML 2023 Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models IJCAI 2023 Characterizing Internal Evasion Attacks in Federated Learning AISTATS 2023 Characterizing the Impacts of Instances on Robustness ACL 2023 Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker NeurIPS 2023 Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization ICLR 2023 Choosing Well Your Opponents: How to Guide the Synthesis of Programmatic Strategies IJCAI 2023 Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only ICLR 2023