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On the amplification of security and privacy risks by post-hoc explanations in machine learning models


Jun 28, 2022
Pengrui Quan, Supriyo Chakraborty, Jeya Vikranth Jeyakumar, Mani Srivastava

* 9 pages, appendix: 2 pages 

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Automatic Concept Extraction for Concept Bottleneck-based Video Classification


Jun 21, 2022
Jeya Vikranth Jeyakumar, Luke Dickens, Luis Garcia, Yu-Hsi Cheng, Diego Ramirez Echavarria, Joseph Noor, Alessandra Russo, Lance Kaplan, Erik Blasch, Mani Srivastava

* 10 pages, Appendix: 2 pages 

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Machine Learning for Microcontroller-Class Hardware -- A Review


Jun 06, 2022
Swapnil Sayan Saha, Sandeep Singh Sandha, Mani Srivastava

* Under Review at IEEE Sensors Journal 

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PhysioGAN: Training High Fidelity Generative Model for Physiological Sensor Readings


Apr 25, 2022
Moustafa Alzantot, Luis Garcia, Mani Srivastava


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Combining Individual and Joint Networking Behavior for Intelligent IoT Analytics


Mar 07, 2022
Jeya Vikranth Jeyakumar, Ludmila Cherkasova, Saina Lajevardi, Moray Allan, Yue Zhao, John Fry, Mani Srivastava

* InInternational Conference on Internet of Things 2020 Sep 18 (pp. 45-62). Springer, Cham 

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Using DeepProbLog to perform Complex Event Processing on an Audio Stream


Oct 15, 2021
Marc Roig Vilamala, Tianwei Xing, Harrison Taylor, Luis Garcia, Mani Srivastava, Lance Kaplan, Alun Preece, Angelika Kimmig, Federico Cerutti

* 8 pages, 3 figures 

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Towards Imperceptible Query-limited Adversarial Attacks with Perceptual Feature Fidelity Loss


Jan 31, 2021
Pengrui Quan, Ruiming Guo, Mani Srivastava


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An Experimentation Platform for Explainable Coalition Situational Understanding


Nov 09, 2020
Katie Barrett-Powell, Jack Furby, Liam Hiley, Marc Roig Vilamala, Harrison Taylor, Federico Cerutti, Alun Preece, Tianwei Xing, Luis Garcia, Mani Srivastava, Dave Braines

* Presented at AAAI FSS-20: Artificial Intelligence in Government and Public Sector, Washington, DC, USA 

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