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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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Transferable Adversarial Perturbations between Self-Supervised Speech Recognition Models
Raphaël Olivier · Hadi Abdullah · Bhiksha Raj
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Workshop
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Black Box Adversarial Prompting for Foundation Models
Natalie Maus · Patrick Chao · Eric Wong · Jacob Gardner
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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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Evading Black-box Classifiers Without Breaking Eggs
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Workshop
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Fri 13:10
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Evading Black-box Classifiers Without Breaking Eggs
Edoardo Debenedetti · Nicholas Carlini · Florian Tramer
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Workshop
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Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks
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Workshop
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Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks
Ashish Hooda · Neal Mangaokar · Ryan Feng · Kassem Fawaz · Somesh Jha · Atul Prakash
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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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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 17:00
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Diffusion Models for Black-Box Optimization
Siddarth Krishnamoorthy · Satvik Mehul Mashkaria · Aditya Grover
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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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