Farinaz Koushanfar

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 221

Top Venues

CoRR

DAC

IACR Cryptol. ePrint Arch.

ICCAD

Publications

Nojan Sheybani, Xinqiao Zhang, Siam Umar Hussain, Farinaz Koushanfar
SenseHash: Computing on Sensor Values Mystified at the Origin. IEEE Trans. Emerg. Top. Comput. 12 (2) (2024)
Nasimeh Heydaribeni, Xinrui Zhan, Ruisi Zhang, Tina Eliassi-Rad, Farinaz Koushanfar
Distributed constrained combinatorial optimization leveraging hypergraph neural networks. Nat. Mac. Intell. 6 (6) (2024)
Mingjia Huo, Sai Ashish Somayajula, Youwei Liang, Ruisi Zhang, Farinaz Koushanfar, Pengtao Xie
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models. CoRR (2024)
Ruisi Zhang, Rachel Selina Rajarathnam, David Z. Pan, Farinaz Koushanfar
ICMarks: A Robust Watermarking Framework for Integrated Circuit Physical Design IP Protection. CoRR (2024)
Ruisi Zhang, Farinaz Koushanfar
EmMark: Robust Watermarks for IP Protection of Embedded Quantized Large Language Models. CoRR (2024)
Xinqiao Zhang, Mohammad Samragh, Siam U. Hussain, Ke Huang, Farinaz Koushanfar
Scalable Binary Neural Network Applications in Oblivious Inference. ACM Trans. Embed. Comput. Syst. 23 (3) (2024)
Seetal Potluri, Farinaz Koushanfar
SoK: Model Reverse Engineering Threats for Neural Network Hardware. IACR Cryptol. ePrint Arch. 2024 (2024)
Olivia Weng, Gabriel Marcano, Vladimir Loncar, Alireza Khodamoradi, G. Abarajithan, Nojan Sheybani, Andres Meza, Farinaz Koushanfar, Kristof Denolf, Javier Mauricio Duarte, Ryan Kastner
Tailor: Altering Skip Connections for Resource-Efficient Inference. ACM Trans. Reconfigurable Technol. Syst. 17 (1) (2024)
Nojan Sheybani, Farinaz Koushanfar
You Can Have Your Cake and Eat It Too: Ensuring Practical Robustness and Privacy in Federated Learning. AAAI Spring Symposia (2024)
Ruisi Zhang, Rachel Selina Rajarathnam, David Z. Pan, Farinaz Koushanfar
Automated Physical Design Watermarking Leveraging Graph Neural Networks. CoRR (2024)
Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara, Farinaz Koushanfar
REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models. USENIX Security Symposium (2024)
Huili Chen, Cheng Fu, Bita Darvish Rouhani, Jishen Zhao, Farinaz Koushanfar
Intellectual Property Protection of Deep-Learning Systems via Hardware/Software Co-Design. IEEE Des. Test 41 (2) (2024)
Ruisi Zhang, Shehzeen Hussain, Huili Chen, Mojan Javaheripi, Farinaz Koushanfar
Systemization of Knowledge: Robust Deep Learning using Hardware-software co-design in Centralized and Federated Settings. ACM Trans. Design Autom. Electr. Syst. 28 (6) (2023)
Olivia Weng, Gabriel Marcano, Vladimir Loncar, Alireza Khodamoradi, Nojan Sheybani, Farinaz Koushanfar, Kristof Denolf, Javier Mauricio Duarte, Ryan Kastner
Tailor: Altering Skip Connections for Resource-Efficient Inference. CoRR (2023)
Christoph Sendner, Huili Chen, Hossein Fereidooni, Lukas Petzi, Jan König, Jasper Stang, Alexandra Dmitrienko, Ahmad-Reza Sadeghi, Farinaz Koushanfar
Smarter Contracts: Detecting Vulnerabilities in Smart Contracts with Deep Transfer Learning. NDSS (2023)
Yaman Jandali, Nojan Sheybani, Farinaz Koushanfar
SPAM: Secure & Private Aircraft Management. CoRR (2023)
Huili Chen, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar
AdaTest: Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection. ACM Trans. Embed. Comput. Syst. 22 (2) (2023)
Ruisi Zhang, Mojan Javaheripi, Zahra Ghodsi, Amit Bleiweiss, Farinaz Koushanfar
AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs. DAC (2023)
Shashank Balla, Farinaz Koushanfar
HELiKs: HE Linear Algebra Kernels for Secure Inference. CCS (2023)
Jung-Woo Chang, Ke Sun, Nasimeh Heydaribeni, Seira Hidano, Xinyu Zhang, Farinaz Koushanfar
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems. CoRR (2023)
Nojan Sheybani, Zahra Ghodsi, Ritvik Kapila, Farinaz Koushanfar
ZKROWNN: Zero Knowledge Right of Ownership for Neural Networks. DAC (2023)
Nasimeh Heydaribeni, Ruisi Zhang, Tara Javidi, Cristina Nita-Rotaru, Farinaz Koushanfar
SABRE: Robust Bayesian Peer-to-Peer Federated Learning. CoRR (2023)
Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara, Farinaz Koushanfar
REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models. CoRR (2023)
Kushal Babel, Mojan Javaheripi, Yan Ji, Mahimna Kelkar, Farinaz Koushanfar, Ari Juels
Lanturn: Measuring Economic Security of Smart Contracts Through Adaptive Learning. IACR Cryptol. ePrint Arch. 2023 (2023)
Shehzeen Hussain, Todd Huster, Chris Mesterharm, Paarth Neekhara, Farinaz Koushanfar
ReFace: Adversarial Transformation Networks for Real-time Attacks on Face Recognition Systems. DSN (2023)
Zahra Ghodsi, Mojan Javaheripi, Nojan Sheybani, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar
zPROBE: Zero Peek Robustness Checks for Federated Learning. ICCV (2023)
Mojan Javaheripi, Jung-Woo Chang, Farinaz Koushanfar
AccHashtag: Accelerated Hashing for Detecting Fault-Injection Attacks on Embedded Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 19 (1) (2023)
Soheil Zibakhsh Shabgahi, Mohammad Soheil Shariff, Farinaz Koushanfar
LayerCollapse: Adaptive compression of neural networks. CoRR (2023)
Jung-Woo Chang, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar
RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression. NDSS (2023)
Christoph Sendner, Ruisi Zhang, Alexander Hefter, Alexandra Dmitrienko, Farinaz Koushanfar
G-Scan: Graph Neural Networks for Line-Level Vulnerability Identification in Smart Contracts. CoRR (2023)
Florian Frank, Wenjie Xiong, Nikolaos Athanasios Anagnostopoulos, André Schaller, Tolga Arul, Farinaz Koushanfar, Stefan Katzenbeisser, Ulrich Rührmair, Jakub Szefer
Abusing Commodity DRAMs in IoT Devices to Remotely Spy on Temperature. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Nasimeh Heydaribeni, Xinrui Zhan, Ruisi Zhang, Tina Eliassi-Rad, Farinaz Koushanfar
HypOp: Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks. CoRR (2023)
Loris Giulivi, Malhar Jere, Loris Rossi, Farinaz Koushanfar, Gabriela F. Ciocarlie, Briland Hitaj, Giacomo Boracchi
Adversarial scratches: Deployable attacks to CNN classifiers. Pattern Recognit. 133 (2023)
Jung-Woo Chang, Nojan Sheybani, Shehzeen Samarah Hussain, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar
NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression. CoRR (2023)
Soheil Zibakhsh Shabgahi, Nojan Sheybani, Aiden Tabrizi, Farinaz Koushanfar
LiveTune: Dynamic Parameter Tuning for Training Deep Neural Networks. CoRR (2023)
Nojan Sheybani, Zahra Ghodsi, Ritvik Kapila, Farinaz Koushanfar
ZKROWNN: Zero Knowledge Right of Ownership for Neural Networks. CoRR (2023)
Huili Chen, Farinaz Koushanfar
Tutorial: Toward Robust Deep Learning against Poisoning Attacks. ACM Trans. Embed. Comput. Syst. 22 (3) (2023)
Patrick McDaniel, Farinaz Koushanfar
Secure and Trustworthy Computing 2.0 Vision Statement. CoRR (2023)
Olivia Weng, Gabriel Marcano, Vladimir Loncar, Alireza Khodamoradi, Nojan Sheybani, Farinaz Koushanfar, Kristof Denolf, Javier Mauricio Duarte, Ryan Kastner
Adapting Skip Connections for Resource-Efficient FPGA Inference. FPGA (2023)
Xinghan Wang, Nasimeh Heydaribeni, Farinaz Koushanfar, Tara Javidi
Federated Certainty Equivalence Control for Linear Gaussian Systems with Unknown Decoupled Dynamics and Quadratic Common Cost. Allerton (2023)
Kushal Babel, Mojan Javaheripi, Yan Ji, Mahimna Kelkar, Farinaz Koushanfar, Ari Juels
Lanturn: Measuring Economic Security of Smart Contracts Through Adaptive Learning. CCS (2023)
Paarth Neekhara, Shehzeen Hussain, Rafael Valle, Boris Ginsburg, Rishabh Ranjan, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations. CoRR (2023)
Jung-Woo Chang, Mojan Javaheripi, Farinaz Koushanfar
VideoFlip: Adversarial Bit Flips for Reducing Video Service Quality. DAC (2023)
Mojan Javaheripi, Gustavo de Rosa, Subhabrata Mukherjee, Shital Shah, Tomasz Religa, Caio Cesar Teodoro Mendes, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey
LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models. NeurIPS (2022)
Huili Chen, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar
AdaTest: Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection. CoRR (2022)
Xinqiao Zhang, Huili Chen, Ke Huang, Farinaz Koushanfar
An Adaptive Black-box Backdoor Detection Method for Deep Neural Networks. CoRR (2022)
Loris Giulivi, Malhar Jere, Loris Rossi, Farinaz Koushanfar, Gabriela F. Ciocarlie, Briland Hitaj, Giacomo Boracchi
Adversarial Scratches: Deployable Attacks to CNN Classifiers. CoRR (2022)
Ruisi Zhang, Seira Hidano, Farinaz Koushanfar
Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers. CoRR (2022)
Zahra Ghodsi, Mojan Javaheripi, Nojan Sheybani, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar
zPROBE: Zero Peek Robustness Checks for Federated Learning. CoRR (2022)
Diego Garcia-soto, Huili Chen, Farinaz Koushanfar
PerD: Perturbation Sensitivity-based Neural Trojan Detection Framework on NLP Applications. CoRR (2022)
Mojan Javaheripi, Shital Shah, Subhabrata Mukherjee, Tomasz L. Religa, Caio C. T. Mendes, Gustavo H. de Rosa, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey
LiteTransformerSearch: Training-free On-device Search for Efficient Autoregressive Language Models. CoRR (2022)
Florian Frank, Wenjie Xiong, Nikolaos Athanasios Anagnostopoulos, André Schaller, Tolga Arul, Farinaz Koushanfar, Stefan Katzenbeisser, Ulrich Rührmair, Jakub Szefer
Abusing Commodity DRAMs in IoT Devices to Remotely Spy on Temperature. CoRR (2022)
Xinghan Wang, Anusha Lalitha, Tara Javidi, Farinaz Koushanfar
Peer-to-Peer Variational Federated Learning Over Arbitrary Graphs. IEEE J. Sel. Areas Inf. Theory 3 (2) (2022)
Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley
Cross-modal Adversarial Reprogramming. WACV (2022)
Thien Duc Nguyen, Phillip Rieger, Huili Chen, Hossein Yalame, Helen Möllering, Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Shaza Zeitouni, Farinaz Koushanfar, Ahmad-Reza Sadeghi, Thomas Schneider
FLAME: Taming Backdoors in Federated Learning. USENIX Security Symposium (2022)
Paarth Neekhara, Shehzeen Hussain, Xinqiao Zhang, Ke Huang, Julian J. McAuley, Farinaz Koushanfar
FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes. CoRR (2022)
Jung-Woo Chang, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar
Adversarial Attacks on Deep Learning-based Video Compression and Classification Systems. CoRR (2022)
Shehzeen Hussain, Nojan Sheybani, Paarth Neekhara, Xinqiao Zhang, Javier Duarte, Farinaz Koushanfar
FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs. ICCAD (2022)
Shehzeen Hussain, Nojan Sheybani, Paarth Neekhara, Xinqiao Zhang, Javier Duarte, Farinaz Koushanfar
FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs. CoRR (2022)
Yein Kim, Huili Chen, Farinaz Koushanfar
Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection. CoRR (2022)
Farinaz Koushanfar
Intellectual Property (IP) Protection for Deep Learning and Federated Learning Models. IH&MMSec (2022)
Shehzeen Hussain, Todd Huster, Chris Mesterharm, Paarth Neekhara, Kevin An, Malhar Jere, Harshvardhan Sikka, Farinaz Koushanfar
ReFace: Real-time Adversarial Attacks on Face Recognition Systems. CoRR (2022)
Mojan Javaheripi, Mohammad Samragh, Farinaz Koushanfar
AutoRank: Automated Rank Selection for Effective Neural Network Customization. IEEE J. Emerg. Sel. Topics Circuits Syst. 11 (4) (2021)
Mohammad Samragh, Siam U. Hussain, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar
On the Application of Binary Neural Networks in Oblivious Inference. CVPR Workshops (2021)
Mojan Javaheripi, Farinaz Koushanfar
HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks. CoRR (2021)
Mojan Javaheripi, Mohammad Samragh, Bita Darvish Rouhani, Tara Javidi, Farinaz Koushanfar
Hardware/Algorithm Codesign for Adversarially Robust Deep Learning. IEEE Des. Test 38 (3) (2021)
Siam U. Hussain, M. Sadegh Riazi, Farinaz Koushanfar
The Fusion of Secure Function Evaluation and Logic Synthesis. IEEE Secur. Priv. 19 (2) (2021)
Gregory Fields, Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar, Tara Javidi
Trojan Signatures in DNN Weights. CoRR (2021)
Malhar Jere, Tyler Farnan, Farinaz Koushanfar
A Taxonomy of Attacks on Federated Learning. IEEE Secur. Priv. 19 (2) (2021)
Farinaz Koushanfar
Provably Secure Sequential Obfuscation for IC Metering and Piracy Avoidance. IEEE Des. Test 38 (3) (2021)
Mojan Javaheripi, Mohammad Samragh, Bita Darvish Rouhani, Tara Javidi, Farinaz Koushanfar
CuRTAIL: ChaRacterizing and Thwarting AdversarIal Deep Learning. IEEE Trans. Dependable Secur. Comput. 18 (2) (2021)
Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar
WaveGuard: Understanding and Mitigating Audio Adversarial Examples. CoRR (2021)
Mojan Javaheripi, Bita Darvish Rouhani, Farinaz Koushanfar
SWANN: Small-World Architecture for Fast Convergence of Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 11 (4) (2021)
Xinqiao Zhang, Huili Chen, Farinaz Koushanfar
TAD: Trigger Approximation based Black-box Trojan Detection for AI. CoRR (2021)
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley
Expressive Neural Voice Cloning. ACML (2021)
Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar
WaveGuard: Understanding and Mitigating Audio Adversarial Examples. USENIX Security Symposium (2021)
Mehran Abbasi Shirsavar, Mehrnoosh Taghavimehr, Lionel J. Ouedraogo, Mojan Javaheripi, Nicole N. Hashemi, Farinaz Koushanfar, Reza Montazami
Machine Learning-Assisted E-jet Printing of Organic Flexible Biosensors. CoRR (2021)
Gregory Fields, Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar, Tara Javidi
Trojan Signatures in DNN Weights. ICCVW (2021)
Mojan Javaheripi, Farinaz Koushanfar
HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks. ICCAD (2021)
Shehzeen Hussain, Paarth Neekhara, Malhar Jere, Farinaz Koushanfar, Julian J. McAuley
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples. WACV (2021)
Farinaz Koushanfar
Machine Learning on Encrypted Data: Hardware to the Rescue. ASHES@CCS (2021)
Huili Chen, Cheng Fu, Jishen Zhao, Farinaz Koushanfar
ProFlip: Targeted Trojan Attack with Progressive Bit Flips. ICCV (2021)
Karla P. S. Oliveira Esquerre, Mariza Mello, Gabriella Botelho, Zikang Deng, Farinaz Koushanfar, Asher Kiperstok
Water end-use consumption in low-income households: Evaluation of the impact of preprocessing on the construction of a classification model. Expert Syst. Appl. 185 (2021)
Oliver Lutz, Huili Chen, Hossein Fereidooni, Christoph Sendner, Alexandra Dmitrienko, Ahmad-Reza Sadeghi, Farinaz Koushanfar
ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning. CoRR (2021)
Siam Umar Hussain, Mojan Javaheripi, Mohammad Samragh, Farinaz Koushanfar
COINN: Crypto/ML Codesign for Oblivious Inference via Neural Networks. CCS (2021)
Mohammad Samragh, Hossein Hosseini, Aleksei Triastcyn, Kambiz Azarian, Joseph Soriaga, Farinaz Koushanfar
Unsupervised Information Obfuscation for Split Inference of Neural Networks. CoRR (2021)
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley
Expressive Neural Voice Cloning. CoRR (2021)
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, 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
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14 (1-2) (2021)
Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley
Cross-modal Adversarial Reprogramming. CoRR (2021)
Arslan Munir, Farinaz Koushanfar
Design and Analysis of Secure and Dependable Automotive CPS: A Steer-by-Wire Case Study. IEEE Trans. Dependable Secur. Comput. 17 (4) (2020)
Huili Chen, Rosario Cammarota, Felipe Valencia, Francesco Regazzoni, Farinaz Koushanfar
AHEC: End-to-end Compiler Framework for Privacy-preserving Machine Learning Acceleration. DAC (2020)
Malhar Jere, Maghav Kumar, Farinaz Koushanfar
A Singular Value Perspective on Model Robustness. CoRR (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, M. Sadegh Riazi, Farinaz Koushanfar, Saransh Gupta, Tajana Simunic Rosing, Kamalika Chaudhuri, Hamid Nejatollahi, Nikil D. Dutt, Mohsen Imani, Kim Laine, Anuj Dubey, Aydin Aysu, Fateme Sadat Hosseini, Chengmo Yang, Eric Wallace, Pamela Norton
Trustworthy AI Inference Systems: An Industry Research View. CoRR (2020)
Cheng Fu, Huili Chen, Zhenheng Yang, Farinaz Koushanfar, Yuandong Tian, Jishen Zhao
Enhancing Model Parallelism in Neural Architecture Search for Multidevice System. IEEE Micro 40 (5) (2020)
Paarth Neekhara, Shehzeen Hussain, Malhar Jere, Farinaz Koushanfar, Julian J. McAuley
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples. CoRR (2020)
Mojan Javaheripi, Mohammad Samragh, Gregory Fields, Tara Javidi, Farinaz Koushanfar
CLEANN: Accelerated Trojan Shield for Embedded Neural Networks. CoRR (2020)
Wayne P. Burleson, Kevin Fu, Denise L. Anthony, Jorge Guajardo, Carl A. Gunter, Kyle Ingols, Jean-Baptiste Jeannin, Farinaz Koushanfar, Carl E. Landwehr, Susan Squires
Grand Challenges for Embedded Security Research in a Connected World. CoRR (2020)
Siam U. Hussain, Baiyu Li, Farinaz Koushanfar, Rosario Cammarota
TinyGarble2: Smart, Efficient, and Scalable Yao's Garble Circuit. PPMLP@CCS (2020)
M. Sadegh Riazi, Seyed M. Chavoshian, Farinaz Koushanfar
SynFi: Automatic Synthetic Fingerprint Generation. IACR Cryptol. ePrint Arch. 2020 (2020)
Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar
GeneCAI: genetic evolution for acquiring compact AI. GECCO (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Farinaz Koushanfar