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Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing


Nov 29, 2022
Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff

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* Published at the Conference on Neural Information Processing Systems (NeurIPS) 2022 

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Temporal Relevance Analysis for Video Action Models


Apr 25, 2022
Quanfu Fan, Donghyun Kim, Chun-Fu, Chen, Stan Sclaroff, Kate Saenko, Sarah Adel Bargal

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Examining the Human Perceptibility of Black-Box Adversarial Attacks on Face Recognition


Jul 19, 2021
Benjamin Spetter-Goldstein, Nataniel Ruiz, Sarah Adel Bargal

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* 5 pages, 5 figures, submitted to AdvML @ ICML 2021 

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Simulated Adversarial Testing of Face Recognition Models


Jun 08, 2021
Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan Yuille, Stan Sclaroff

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ZeroWaste Dataset: Towards Automated Waste Recycling


Jun 04, 2021
Dina Bashkirova, Ziliang Zhu, James Akl, Fadi Alladkani, Ping Hu, Vitaly Ablavsky, Berk Calli, Sarah Adel Bargal, Kate Saenko

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SegNBDT: Visual Decision Rules for Segmentation


Jun 11, 2020
Alvin Wan, Daniel Ho, Younjin Song, Henk Tillman, Sarah Adel Bargal, Joseph E. Gonzalez

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* 8 pages, 8 figures 

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Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks


Jun 11, 2020
Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff

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NBDT: Neural-Backed Decision Trees


Apr 01, 2020
Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Henry Jin, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez

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* 14 pages, 9 figures 

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Explainable Deep Classification Models for Domain Generalization


Mar 13, 2020
Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko

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Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems


Mar 06, 2020
Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff

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