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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
Thu 16:30 How to Boost Any Loss Function
Richard Nock · Yishay Mansour
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 Stopping Bayesian Optimization with Probabilistic Regret Bounds
James Wilson
Workshop
Sat 15:45 A Watermark for Black-Box Language Models
Dara Bahri · John Wieting · Dana Alon · Donald Metzler
Workshop
How to Determine the Preferred Image Distribution of a Black-Box Vision-Language Model?
Saeid Asgari · Joseph G Lambourne · Alana Mongkhounsavath
Workshop
A Black-Box Watermarking Modulation for Semantic Segmentation Models
Mohammed Lansari · Lucas Mattioli · Boussad ADDAD · Paul-Marie RAFFI · Martin Gonzalez · Katarzyna Kapusta
Poster
Wed 16:30 Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal
Juliusz Ziomek · Masaki Adachi · Michael A Osborne
Workshop
Diff-BBO: Diffusion-Based Inverse Modeling for Black-Box Optimization
Dongxia Wu · Nikki Lijing Kuang · Ruijia Niu · Yian Ma · Rose Yu
Workshop
Finding Interior Optimum of Black-box Constrained Objective with Bayesian Optimization
Fengxue Zhang · Zejie Zhu · Yuxin Chen
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
Workshop
Keep on Swimming: Real Attackers Only Need Partial Knowledge of a Multi-Model System
Julian Collado · Kevin Stangl