black-box setting

BlackMirror: Black-Box Backdoor Detection for Text-to-Image Models via Instruction-Response Deviation CVPR 2026 When Robots Obey the Patch: Universal Transferable Patch Attacks on Vision-Language-Action Models CVPR 2026 A Stochastic Approach to the Subset Selection Problem via Mirror Descent ICLR 2025 Automated Detection of Pre-training Text in Black-box LLMs IJCAI 2025 Crabs: Consuming Resource via Auto-generation for LLM-DoS Attack under Black-box Settings ACL 2025 GEFA: A General Feature Attribution Framework Using Proxy Gradient Estimation ICML 2025 On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis UAI 2025 Q-FAKER: Query-free Hard Black-box Attack via Controlled Generation NAACL 2025 VLMInferSlow: Evaluating the Efficiency Robustness of Large Vision-Language Models as a Service ACL 2025 Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification CVPR 2024 LLM-Check: Investigating Detection of Hallucinations in Large Language Models NeurIPS 2024 On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box ICML 2024 TRAttack: Text Rewriting Attack Against Text Retrieval ACL 2022 A Strong Baseline for Query Efficient Attacks in a Black Box Setting EMNLP 2021 Attack As the Best Defense: Nullifying Image-to-Image Translation GANs via Limit-Aware Adversarial Attack ICCV 2021 Generating Natural Language Attacks in a Hard Label Black Box Setting AAAI 2021 ColorFool: Semantic Adversarial Colorization CVPR 2020 Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks ICML 2020