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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, √Āgnes 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, Aur√©lien 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, Adri√† Gasc√≥n, 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 Koneńćn√Ĺ, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancr√®de Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer √Ėzg√ľr, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tram√®r, 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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DeepFense: Online Accelerated Defense Against Adversarial Deep Learning

Aug 21, 2018
Bita Darvish Rouhani, Mohammad Samragh, Mojan Javaheripi, Tara Javidi, Farinaz Koushanfar

* Adding hardware acceleration for real-time execution of defender modules 

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RAPIDNN: In-Memory Deep Neural Network Acceleration Framework

Aug 09, 2018
Mohsen Imani, Mohammad Samragh, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing


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AgileNet: Lightweight Dictionary-based Few-shot Learning

May 21, 2018
Mohammad Ghasemzadeh, Fang Lin, Bita Darvish Rouhani, Farinaz Koushanfar, Ke Huang

* 10 Pages 

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ReBNet: Residual Binarized Neural Network

Mar 27, 2018
Mohammad Ghasemzadeh, Mohammad Samragh, Farinaz Koushanfar

* To Appear In The 26th IEEE International Symposium on Field-Programmable Custom Computing Machines 

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Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications

Jan 10, 2018
M. Sadegh Riazi, Christian Weinert, Oleksandr Tkachenko, Ebrahim M. Songhori, Thomas Schneider, Farinaz Koushanfar


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RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets

Oct 27, 2016
Azalia Mirhoseini, Eva L. Dyer, Ebrahim. M. Songhori, Richard G. Baraniuk, Farinaz Koushanfar

* 13 pages, 10 figures 

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