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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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Accurate, Explainable, and Private Models: Providing Recourse While Minimizing Training Data Leakage
Catherine Huang · Chelse Swoopes · Christina Xiao · Jiaqi Ma · Himabindu Lakkaraju
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Workshop
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Unsupervised Adversarial Detection without Extra Model: Training Loss Should Change
Chien Cheng Chyou · Hung-Ting Su · Winston Hsu
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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 11:50
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2nd ICML Workshop on New Frontiers in Adversarial Machine Learning
Sijia Liu · Pin-Yu Chen · Dongxiao Zhu · Eric Wong · Kathrin Grosse · Baharan Mirzasoleiman · Sanmi Koyejo
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Workshop
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Don't trust your eyes: on the (un)reliability of feature visualizations
Robert Geirhos · Roland S. Zimmermann · Blair Bilodeau · Wieland Brendel · Been Kim
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Affinity Workshop
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Mon 19:15
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Generative network-based reduced-order model for prediction, data assimilation and uncertainty quantification
Vinicius L S Silva · Claire Heaney · Christopher Pain
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Workshop
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A cross-modal adversarial learning method for estimating photometric redshift of quasars
Chen Zhang · Yanxia Zhang · Bin Jiang · Meixia Qu · Wenyu Wang
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Workshop
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FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation
Dhruv Pai · Andres Carranza · Rylan Schaeffer · Arnuv Tandon · Sanmi Koyejo
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Workshop
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Benchmarking Adversarial Robustness of Compressed Deep Learning Models
Brijesh Vora · Kartik Patwari · Syed Mahbub Hafiz · Zubair Shafiq · Chen-Nee Chuah
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Workshop
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Fri 18:30
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How Can Neuroscience Help Us Build More Robust Deep Neural Networks?
Sayanton Dibbo · Siddharth Mansingh · Jocelyn Rego · Garrett T Kenyon · Juston Moore · Michael Teti
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