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Poster
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Wed 14:00
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Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set
Enming Liang · Minghua Chen · Steven Low
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Workshop
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PAC-Bayesian Adversarially Robust Generalization Bounds for Deep Neural Networks
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Workshop
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Sat 18:35
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Ehsan Amid: A Dualistic View of Activations in Deep Neural Networks
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Workshop
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Sat 13:30
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Joseph Shenouda: A Representer Theorem for Vector-Valued Neural Networks: Insights on Weight Decay Training and Widths of Deep Neural Networks
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Workshop
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A physics-orientd method for attacking SAR images using salient regions
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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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Establishing a Benchmark for Adversarial Robustness of Compressed Deep Learning Models after Pruning
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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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Workshop
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Fri 18:20
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Interpreting Robustness Proofs of Deep Neural Networks
Debangshu Banerjee · Avaljot Singh · Gagandeep Singh
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Poster
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Wed 17:00
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Adversarial Parameter Attack on Deep Neural Networks
Lijia Yu · Yihan Wang · Xiao-Shan Gao
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Workshop
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A Theoretical Perspective on the Robustness of Feature Extractors
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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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