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Machine Learning-Assisted E-jet Printing of Organic Flexible Biosensors


Nov 07, 2021
Mehran Abbasi Shirsavar, Mehrnoosh Taghavimehr, Lionel J. Ouedraogo, Mojan Javaheripi, Nicole N. Hashemi, Farinaz Koushanfar, Reza Montazami


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HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks


Nov 02, 2021
Mojan Javaheripi, Farinaz Koushanfar


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Trojan Signatures in DNN Weights


Sep 07, 2021
Greg Fields, Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar, Tara Javidi

* 8 pages, 13 figures 

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Unsupervised Information Obfuscation for Split Inference of Neural Networks


Apr 23, 2021
Mohammad Samragh, Hossein Hosseini, Aleksei Triastcyn, Kambiz Azarian, Joseph Soriaga, Farinaz Koushanfar


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ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning


Mar 23, 2021
Oliver Lutz, Huili Chen, Hossein Fereidooni, Christoph Sendner, Alexandra Dmitrienko, Ahmad Reza Sadeghi, Farinaz Koushanfar

* 17 pages, 10 figures, 5 tables, 5 equations, 2 listings 

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WaveGuard: Understanding and Mitigating Audio Adversarial Examples


Mar 04, 2021
Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian McAuley, Farinaz Koushanfar

* Published as a conference paper at Usenix Security 2021 

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TAD: Trigger Approximation based Black-box Trojan Detection for AI


Feb 24, 2021
Xinqiao Zhang, Huili Chen, Farinaz Koushanfar

* 6 body pages 

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Cross-modal Adversarial Reprogramming


Feb 15, 2021
Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian McAuley

* 12 pages, 3 figures 

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Expressive Neural Voice Cloning


Jan 30, 2021
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian McAuley

* 12 pages, 2 figures, 2 tables 

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A Singular Value Perspective on Model Robustness


Dec 07, 2020
Malhar Jere, Maghav Kumar, Farinaz Koushanfar


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CLEANN: Accelerated Trojan Shield for Embedded Neural Networks


Sep 04, 2020
Mojan Javaheripi, Mohammad Samragh, Gregory Fields, Tara Javidi, Farinaz Koushanfar


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Trustworthy AI Inference Systems: An Industry Research View


Aug 10, 2020
Rosario Cammarota, Matthias Schunter, Anand Rajan, Fabian Boemer, Ágnes Kiss, Amos Treiber, Christian Weinert, Thomas Schneider, Emmanuel Stapf, Ahmad-Reza Sadeghi, Daniel Demmler, Huili Chen, Siam Umar Hussain, Sadegh Riazi, Farinaz Koushanfar, Saransh Gupta, Tajan Simunic Rosing, Kamalika Chaudhuri, Hamid Nejatollahi, Nikil Dutt, Mohsen Imani, Kim Laine, Anuj Dubey, Aydin Aysu, Fateme Sadat Hosseini, Chengmo Yang, Eric Wallace, Pamela Norton


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GeneCAI: Genetic Evolution for Acquiring Compact AI


Apr 14, 2020
Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar


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Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples


Mar 14, 2020
Paarth Neekhara, Shehzeen Hussain, Malhar Jere, Farinaz Koushanfar, Julian McAuley

* 10 pages, 4 figures 

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SynFi: Automatic Synthetic Fingerprint Generation


Feb 16, 2020
M. Sadegh Riazi, Seyed M. Chavoshian, Farinaz Koushanfar


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FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA


Feb 09, 2020
Shehzeen Hussain, Mojan Javaheripi, Paarth Neekhara, Ryan Kastner, Farinaz Koushanfar

* @inproceedings {1143,booktitle = {IEEE/ACM 2019 International Conference On Computer Aided Design (ICCAD)},year = {2019},month = {November}} 
* Published as a conference paper at ICCAD 2019 

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Advances and Open Problems in Federated Learning


Dec 10, 2019
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao


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Principal Component Properties of Adversarial Samples


Dec 07, 2019
Malhar Jere, Sandro Herbig, Christine Lind, Farinaz Koushanfar


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Scratch that! An Evolution-based Adversarial Attack against Neural Networks


Dec 05, 2019
Malhar Jere, Briland Hitaj, Gabriela Ciocarlie, Farinaz Koushanfar


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ASCAI: Adaptive Sampling for acquiring Compact AI


Nov 15, 2019
Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar


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A Neural-based Program Decompiler


Jun 28, 2019
Cheng Fu, Huili Chen, Haolan Liu, Xinyun Chen, Yuandong Tian, Farinaz Koushanfar, Jishen Zhao


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Decentralized Bayesian Learning over Graphs


May 24, 2019
Anusha Lalitha, Xinghan Wang, Osman Kilinc, Yongxi Lu, Tara Javidi, Farinaz Koushanfar


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Universal Adversarial Perturbations for Speech Recognition Systems


May 09, 2019
Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian McAuley, Farinaz Koushanfar

* 5 Pages, 3 figures 

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SWNet: Small-World Neural Networks and Rapid Convergence


Apr 09, 2019
Mojan Javaheripi, Bita Darvish Rouhani, Farinaz Koushanfar


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Peer-to-peer Federated Learning on Graphs


Jan 31, 2019
Anusha Lalitha, Osman Cihan Kilinc, Tara Javidi, Farinaz Koushanfar


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CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs


Jan 17, 2019
Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar


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Adversarial Reprogramming of Sequence Classification Neural Networks


Sep 07, 2018
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar

* 10 pages, 5 figures, 2 tables 

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