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Workshop
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Like Oil and Water: Group Robustness and Poisoning Defenses Don’t Mix
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Workshop
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An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations
Jonathan Erskine · Raul Santos-Rodriguez · Alexander Hepburn · Matt Clifford
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Workshop
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When Can Linear Learners be Robust to Indiscriminate Poisoning Attacks?
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Workshop
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Accurate, Explainable, and Private Models: Providing Recourse While Minimizing Training Data Leakage
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Workshop
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On feasibility of intent obfuscating attacks
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Workshop
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Unsupervised Adversarial Detection without Extra Model: Training Loss Should Change
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Workshop
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On feasibility of intent obfuscating attacks
ZhaoBin Li · Patrick Shafto
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Workshop
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How Can Neuroscience Help Us Build More Robust Deep Neural Networks?
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Workshop
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Adversarial Attacks and Defenses in Explainable Artificial Intelligence: A Survey
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Workshop
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Adversarial Attacks and Defenses in Explainable Artificial Intelligence: A Survey
Hubert Baniecki · Przemyslaw Biecek
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Poster
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Tue 17:00
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Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
Yuxin Tang · Zhimin Ding · Dimitrije Jankov · Binhang Yuan · Daniel Bourgeois · Chris Jermaine
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Poster
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Wed 17:00
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Forget Unlearning: Towards True Data-Deletion in Machine Learning
Rishav Chourasia · Neil Shah
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