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Workshop
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The Future of Cyber Systems: Human-AI Reinforcement Learning with Adversarial Robustness
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Workshop
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Classifier Robustness Enhancement Via Test-Time Transformation
Tsachi Blau · Roy Ganz · Chaim Baskin · Michael Elad · Alex Bronstein
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Workshop
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A Theoretical Perspective on the Robustness of Feature Extractors
Arjun Nitin Bhagoji · Daniel Cullina · Ben Zhao
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Poster
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Thu 16:30
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Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics
Zonghan Yang · Peng Li · Tianyu Pang · Yang Liu
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Workshop
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AdversNLP: A Practical Guide to Assessing NLP Robustness Against Text Adversarial Attacks
Othmane BELMOUKADAM
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Poster
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Tue 17:00
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Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions
Ezgi Korkmaz · Jonah Brown-Cohen
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Workshop
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Fri 18:35
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The Future of Cyber Systems: Human-AI Reinforcement Learning with Adversarial Robustness
Nicole Nichols
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Workshop
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Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness
Francesco Campi · Lukas Gosch · Tom Wollschläger · Yan Scholten · Stephan Günnemann
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Poster
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Wed 17:00
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Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process
Yidong Ouyang · Liyan Xie · Guang Cheng
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Workshop
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Certified Calibration: Bounding Worst-Case Calibration under Adversarial Attacks
Cornelius Emde · Francesco Pinto · Thomas Lukasiewicz · Phil Torr · Adel Bibi
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Workshop
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R-LPIPS: An Adversarially Robust Perceptual Similarity Metric
Sara Ghazanfari · Siddharth Garg · Prashanth Krishnamurthy · Farshad Khorrami · Alexandre Araujo
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Workshop
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Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy
Ioana Ciuca · Yuan-Sen Ting · Sandor Kruk · Kartheik Iyer
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