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Workshop
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Transferable Adversarial Perturbations between Self-Supervised Speech Recognition Models
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Workshop
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Scoring Black-Box Models for Adversarial Robustness
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Workshop
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Transferable Adversarial Perturbations between Self-Supervised Speech Recognition Models
Raphaël Olivier · Hadi Abdullah · Bhiksha Raj
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Poster
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Tue 17:00
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Diffusion Models for Black-Box Optimization
Siddarth Krishnamoorthy · Satvik Mehul Mashkaria · Aditya Grover
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Workshop
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Black Box Adversarial Prompting for Foundation Models
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Workshop
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Fri 15:15
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Iterative Machine Teaching for Black-box Markov Learners
Chaoqi Wang · Sandra Zilles · Adish Singla · Yuxin Chen
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Poster
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Thu 13:30
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Generative Pretraining for Black-Box Optimization
Satvik Mehul Mashkaria · Siddarth Krishnamoorthy · Aditya Grover
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Poster
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Tue 14:00
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Active Policy Improvement from Multiple Black-box Oracles
Xuefeng Liu · Takuma Yoneda · Chaoqi Wang · Matthew Walter · Yuxin Chen
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Workshop
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Black-Box Batch Active Learning for Regression
Andreas Kirsch
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Poster
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Tue 14:00
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Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
Zixuan Hu · Li Shen · Zhenyi Wang · Baoyuan Wu · Chun Yuan · Dacheng Tao
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Poster
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Tue 17:00
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PromptBoosting: Black-Box Text Classification with Ten Forward Passes
Bairu Hou · Joe O'Connor · Jacob Andreas · Shiyu Chang · Yang Zhang
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Poster
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Tue 17:00
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Constrained Efficient Global Optimization of Expensive Black-box Functions
Wenjie Xu · Yuning Jiang · Bratislav Svetozarevic · Colin Jones
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