Asilomar 2024
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Technical Program
Session WA4b
Paper WA4b.3
WA4b.3
Adversarial Training with Maximal Coding Rate Reduction
Hsiang-Yu Chu, Hongbo Zhao, Markus Flierl, KTH Royal Institute of Technology, Sweden
Session:
WA4b: Trustworthy Learning II
Lecture
Track:
Adaptive Systems, Machine Learning, and Data Analytics
Location:
Nautilus
Presentation Time:
Wed, 30 Oct, 11:05 - 11:30 PT (UTC -8)
Session Chair:
Markus Flierl, KTH Royal Institute of Technology
Presentation
Discussion
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Session WA4b
WA4b.1: Inference Privacy: Properties and Mechanisms
Fengwei Tian, Ravi Tandon, University of Arizona, United States
WA4b.2: Sequential Reinforcement Learning-Based Waveform Adaptation for Dynamic Decision-Making in Tracking
Abigail Eastman, Antonia Papandreou-Suppappola, Arizona State University, United States
WA4b.3: Adversarial Training with Maximal Coding Rate Reduction
Hsiang-Yu Chu, Hongbo Zhao, Markus Flierl, KTH Royal Institute of Technology, Sweden
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