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Workshop
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Stabilizing GNN for Fairness via Lipschitz Bounds
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Workshop
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Fri 12:10
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Prof. Marta Kwiatkowska (Oxford): Robustness Guarantees for Bayesian Neural Networks
Marta Kwiatkowska
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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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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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Poster
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Wed 14:00
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Total Variation Graph Neural Networks
Jonas B. Hansen · Filippo Maria Bianchi
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Workshop
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Sat 13:45
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Stefanie Jegelka: Learning discrete optimization: Loss functions and graph neural networks
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Workshop
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Fri 19:00
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On the Ability of Graph Neural Networks to Model Interactions Between Vertices
Noam Razin · Tom Verbin · Nadav Cohen
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Poster
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Thu 16:30
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Certified Robust Neural Networks: Generalization and Corruption Resistance
Amine Bennouna · Ryan Lucas · Bart Van Parys
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Poster
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Wed 14:00
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LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control
Xujie Song · Jingliang Duan · Wenxuan Wang · Shengbo Li · Chen Chen · Bo Cheng · Bo Zhang · Junqing Wei · Xiaoming (Simon) Wang
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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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Workshop
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Fri 14:00
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Outstanding Paper: Interpreting Robustness Proofs of Deep Neural Networks - Debangshu Banerjee, Avaljot Singh, Gagandeep Singh
Debangshu Banerjee
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Workshop
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Low Complexity Neural Network-Based In-loop Filtering with Decomposed Split Luma-Chroma Model for Video Compression
Tong Shao · Jay Shingala · Ajay Shyam · Peng Yin · Arjun Arora · Sean McCarthy
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