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Workshop
Finding Interior Optimum of Black-box Constrained Objective with Bayesian Optimization
Fengxue Zhang · Zejie Zhu · Yuxin Chen
Poster
Wed 16:30 Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal
Juliusz Ziomek · Masaki Adachi · Michael A Osborne
Poster
Thu 11:00 Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
Anay Mehrotra · Manolis Zampetakis · Paul Kassianik · Blaine Nelson · Hyrum Anderson · Yaron Singer · Amin Karbasi
Poster
Wed 11:00 Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models
Alliot Nagle · Adway Girish · Marco Bondaschi · Michael Gastpar · Ashok Vardhan Makkuva · Hyeji Kim
Poster
Wed 16:30 Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms
Felix Petersen · Christian Borgelt · Tobias Sutter · Hilde Kuehne · Oliver Deussen · Stefano Ermon
Poster
Thu 16:30 HYDRA: Model Factorization Framework for Black-Box LLM Personalization
Yuchen Zhuang · Haotian Sun · Yue Yu · Rushi Qiang · Qifan Wang · Chao Zhang · Bo Dai
Workshop
A Black-Box Watermarking Modulation for Semantic Segmentation Models
Mohammed Lansari · Lucas Mattioli · Boussad ADDAD · Paul-Marie RAFFI · Martin Gonzalez · Katarzyna Kapusta
Poster
Thu 16:30 How to Boost Any Loss Function
Richard Nock · Yishay Mansour
Poster
Wed 16:30 Stopping Bayesian Optimization with Probabilistic Regret Bounds
James Wilson
Workshop
Sat 12:00 Cannot or Should Not? Automatic Analysis of Refusal Composition in IFT/RLHF Datasets and Refusal Behavior of Black-Box LLMs
Alexander von Recum · Christoph Schnabl · Gabor Hollbeck · Marvin von Hagen · Silas Alberti · Philip Blinde
Poster
Thu 11:00 Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection
Dongsu Song · Daehwa Ko · Jay Hoon Jung
Poster
Fri 16:30 Pretrained Optimization Model for Zero-Shot Black Box Optimization
Xiaobin Li · Kai Wu · yujian li · Xiaoyu Zhang · Handing Wang · Jing Liu