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Workshop
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Label Noise: Correcting a Correction Loss
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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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Poster
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Tue 14:00
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Training-Free Neural Active Learning with Initialization-Robustness Guarantees
Apivich Hemachandra · Zhongxiang Dai · Jasraj Singh · See-Kiong Ng · Bryan Kian Hsiang Low
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Workshop
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Adaptive Certified Training: Towards Better Accuracy-Robustness Tradeoffs
Zhakshylyk Nurlanov · Frank R Schmidt · Florian Bernard
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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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Neural Image Compression: Generalization, Robustness, and Spectral Biases
Kelsey Lieberman · James Diffenderfer · Charles Godfrey · Bhavya Kailkhura
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Workshop
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A Simple and Yet Fairly Effective Defense for Graph Neural Networks
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Poster
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Thu 16:30
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Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks
Peng XU · Lin Zhang · Xuanzhou Liu · Jiaqi Sun · Yue Zhao · Haiqin Yang · Bei Yu
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Workshop
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Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness
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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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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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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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