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54 Results
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Poster
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Wed 11:00 |
Inversion-based Latent Bayesian Optimization Jaewon Chu · Jinyoung Park · Seunghun Lee · Hyunwoo Kim |
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Poster
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Wed 16:30 |
Approximation-Aware Bayesian Optimization Natalie Maus · Kyurae Kim · David Eriksson · Geoff Pleiss · John Cunningham · Jacob Gardner |
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Poster
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Thu 16:30 |
Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques Cuong Dao · Phi Le Nguyen · Truong Thao Nguyen · Nghia Hoang |
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Workshop
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DeComFL: Federated Learning with Dimension-Free Communication Zhe Li · Bicheng Ying · Zidong Liu · Chaosheng Dong · Haibo Yang |
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Poster
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Wed 16:30 |
DALD: Improving Logits-based Detector without Logits from Black-box LLMs Cong Zeng · Shengkun Tang · Xianjun Yang · Yuanzhou Chen · Yiyou Sun · Zhiqiang Xu · Yao Li · Haifeng Chen · Wei Cheng · Dongkuan (DK) Xu |
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Poster
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Thu 16:30 |
SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification Yanxin Yang · Chentao Jia · DengKe Yan · Ming Hu · Tianlin Li · Xiaofei Xie · Xian Wei · Mingsong Chen |
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Workshop
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LLM-Generated Black-box Explanations Can Be Adversarially Helpful Rohan Deepak Ajwani · Shashidhar Reddy Javaji · Frank Rudzicz · Zining Zhu |
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Poster
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Thu 16:30 |
Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models Qingyuan Zeng · Zhenzhong Wang · Yiu-ming Cheung · Min JIANG |
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Workshop
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Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow Henry Moss · Victor Picheny · Hrvoje Stojic · Sebastian Ober · Artem Artemev · Andrei Paleyes · Sattar Vakili · Stratis Markou · Jixiang Qing · Nasrulloh Loka · Ivo Couckuyt |
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Poster
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Wed 16:30 |
Federated Black-Box Adaptation for Semantic Segmentation Jay Paranjape · Shameema Sikder · S. Vedula · Vishal Patel |
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Poster
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Thu 16:30 |
Black-Box Forgetting Yusuke Kuwana · Yuta Goto · Takashi Shibata · Go Irie |
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Poster
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Wed 16:30 |
Nearly Tight Black-Box Auditing of Differentially Private Machine Learning Meenatchi Sundaram Muthu Selva Annamalai · Emiliano De Cristofaro |