conftrace_

adversarial attack

1,853 papers

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Also known as

AA

Co-occurring keywords · papers mentioning both

adversarial robustness (262) adversarial example (212) black-box attack (190) large language model (164) neural network (133) adversarial training (112) adversarial defense (104) adversarial perturbation (104) adversarial learning (103) model robustness (102)

Papers

Towards Poisoning Fair Representations ICLR 2024 Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models ECCV 2024 Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology EMNLP 2024 Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks AAAI 2024 Towards Robust Visual Understanding: from Recognition to Reasoning AAAI 2024 Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms ICML 2024 Towards Transferable Adversarial Attacks with Centralized Perturbation AAAI 2024 Towards Transferable Targeted 3D Adversarial Attack in the Physical World CVPR 2024 Towards Understanding and Improving Adversarial Robustness of Vision Transformers CVPR 2024 ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations EMNLP 2024 Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness NeurIPS 2024 Transferable Adversarial Attacks for Object Detection Using Object-Aware Significant Feature Distortion AAAI 2024 Transferable Adversarial Attacks on SAM and Its Downstream Models NeurIPS 2024 Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training CVPR 2024 Tree of Attacks: Jailbreaking Black-Box LLMs Automatically NeurIPS 2024 Trustworthy Actionable Perturbations ICML 2024 TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples AAAI 2024 Typos that Broke the RAG’s Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations EMNLP 2024 Uncertainty-Weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation WACV 2024 Uncovering Safety Risks of Large Language Models through Concept Activation Vector NeurIPS 2024 Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks ICLR 2024 Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning EMNLP 2024 Unsegment Anything by Simulating Deformation CVPR 2024 Unveiling the Achilles’ Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models ACL 2024 VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models CVPR 2024