black-box optimization

BOSCH: Black-Box Binary Optimization for Short-Context Attention-Head Selection in LLMs ACL 2026 CamPI: Physical Adversarial Examples through Camera Power Signal Injection CVPR 2026 Cliqueformer: Model-Based Optimization with Structured Transformers AAAI 2026 Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization EACL 2026 EvoGrad: Evolutionary-Weighted Gradient and Hessian Learning for Black-Box Optimization AAAI 2026 Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering AAAI 2026 Maximally Robust Satisficing Bayesian Optimization UAI 2026 Prime Once, then Reprogram Locally: An Efficient Alternative to Black-Box Service Model Adaptation CVPR 2026 ACING: Actor-Critic for Instruction Learning in Black-Box LLMs EMNLP 2025 Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design AAAI 2025 Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting AISTATS 2025 AGENTVIGIL: Automatic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents EMNLP 2025 An Optimizable Suffix Is Worth A Thousand Templates: Efficient Black-box Jailbreaking without Affirmative Phrases via LLM as Optimizer NAACL 2025 AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization via Multi-LLMs NAACL 2025 Ax: A Platform for Adaptive Experimentation AutoML 2025 B2Opt: Learning to Optimize Black-box Optimization with Little Budget AAAI 2025 Black-Box Optimization with Implicit Constraints for Public Policy AAAI 2025 Black-box Optimization with Unknown Constraints via Overparameterized Deep Neural Networks UAI 2025 CALM: Curiosity-Driven Auditing for Large Language Models AAAI 2025 CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization AutoML 2025 CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization AAAI 2025 ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning AAAI 2025 Constrained Offline Black-Box Optimization via Risk Evaluation and Management AAAI 2025 Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints AISTATS 2025 DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces AAAI 2025