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Adaptive Verifiable Training Using Pairwise Class Similarity


Dec 14, 2020
Shiqi Wang, Kevin Eykholt, Taesung Lee, Jiyong Jang, Ian Molloy

* Acceped at AAAI21 

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Adversarial Examples and Metrics


Jul 15, 2020
Nico Döttling, Kathrin Grosse, Michael Backes, Ian Molloy

* 25 pages, 1 figure, under submission, fixe typos from previous version 

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A new measure for overfitting and its implications for backdooring of deep learning


Jun 18, 2020
Kathrin Grosse, Taesung Lee, Youngja Park, Michael Backes, Ian Molloy

* 11 pages, 10 figures, under submission, (updated contact information) 

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Reaching Data Confidentiality and Model Accountability on the CalTrain


Dec 07, 2018
Zhongshu Gu, Hani Jamjoom, Dong Su, Heqing Huang, Jialong Zhang, Tengfei Ma, Dimitrios Pendarakis, Ian Molloy


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Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering


Nov 09, 2018
Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian Molloy, Biplav Srivastava


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Defending Against Model Stealing Attacks Using Deceptive Perturbations


Sep 19, 2018
Taesung Lee, Benjamin Edwards, Ian Molloy, Dong Su

* Under review for a peer review conference 

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DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements


Feb 01, 2014
Shandian Zhe, Yuan Qi, Youngja Park, Ian Molloy, Suresh Chari


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