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ORCIDMohammadreza Ebrahimi
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2020 – today
- 2024
[i13]MohammadReza Ebrahimi, Sunny Panchal, Roland Memisevic:
Your Context Is Not an Array: Unveiling Random Access Limitations in Transformers. CoRR abs/2408.05506 (2024)- 2023
- [j7]Mohammadreza Ebrahimi
, Yidong Chai, Hao Helen Zhang, Hsinchun Chen:
Heterogeneous Domain Adaptation With Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1862-1875 (2023) - [c21]MohammadReza Ebrahimi, Navona Calarco, Colin Hawco, Aristotle N. Voineskos, Ashish Khisti:
Time-Resolved FMRI Shared Response Model Using Gaussian Process Factor Analysis. ICASSP 2023: 1-5 - [c20]Brian Etter, James Lee Hu, Mohammadreza Ebrahimi, Weifeng Li, Xin Li, Hsinchun Chen:
Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach. ICDM 2023: 101-109 - [c19]Brian Etter, James Lee Hu, Mohammadreza Ebrahimi, Weifeng Li, Xin Li, Hsinchun Chen:
Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach. ICDM (Workshops) 2023: 1313-1321 - [c18]Alysson De Oliveira Silveira, Arindam Ray, Mohammadreza Ebrahimi, Anol Bhattacherjee:
Automated Deductive Content Analysis of Text: A Deep Contrastive and Active Learning Based Approach. ICIS 2023 - [c17]Muralee Nikhil Krishnan, MohammadReza Ebrahimi, Ashish J. Khisti:
Sequential Gradient Coding For Straggler Mitigation. ICLR 2023 - [i12]Rouzbeh Behnia, Mohammadreza Ebrahimi, Arman Riasi, Balaji Padmanabhan, Thang Hoang:
Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning. CoRR abs/2304.03841 (2023) - [i11]Jeremiah Birrell, Mohammadreza Ebrahimi:
Adversarially Robust Deep Learning with Optimal-Transport-Regularized Divergences. CoRR abs/2309.03791 (2023) - 2022
- [j6]Mohammadreza Ebrahimi, Yidong Chai, Sagar Samtani, Hsinchun Chen:
Cross-Lingual Cybersecurity Analytics in the International Dark Web with Adversarial Deep Representation Learning. MIS Q. 46(2): 1209-1226 (2022) - [j5]Bo Wen, Paul Jen-Hwa Hu, Mohammadreza Ebrahimi, Hsinchun Chen:
Key Factors Affecting User Adoption of Open-Access Data Repositories in Intelligence and Security Informatics: An Affordance Perspective. ACM Trans. Manag. Inf. Syst. 13(1): 10:1-10:24 (2022) - [j4]Ning Zhang, Mohammadreza Ebrahimi, Weifeng Li, Hsinchun Chen:
Counteracting Dark Web Text-Based CAPTCHA with Generative Adversarial Learning for Proactive Cyber Threat Intelligence. ACM Trans. Manag. Inf. Syst. 13(2): 21:1-21:21 (2022) - [c16]James Lee Hu, Mohammadreza Ebrahimi, Weifeng Li, Xin Li, Hsinchun Chen:
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants. ICDM (Workshops) 2022: 1-8 - [c15]Rouzbeh Behnia, MohammadReza Ebrahimi, Jason Pacheco, Balaji Padmanabhan:
EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy. ICDM (Workshops) 2022: 560-566 - [c14]MohammadReza Ebrahimi, Weifeng Li, Yidong Chai, Jason Pacheco, Hsinchun Chen:
An Adversarial Reinforcement Learning Framework for Robust Machine Learning-based Malware Detection. ICDM (Workshops) 2022: 567-576 - [c13]Ricardo Omar Chávez García, Matthew A. Estrada, Mohammadreza Ebrahimi, Francesco Zuppichini, Luca Maria Gambardella, Alessandro Giusti, Auke Jan Ijspeert:
Gait-dependent Traversability Estimation on the k-rock2 Robot. ICPR 2022: 4204-4210 - [i10]Ning Zhang, Mohammadreza Ebrahimi, Weifeng Li, Hsinchun Chen:
Counteracting Dark Web Text-Based CAPTCHA with Generative Adversarial Learning for Proactive Cyber Threat Intelligence. CoRR abs/2201.02799 (2022) - [i9]Mohammadreza Ebrahimi, Yidong Chai, Hao Helen Zhang, Hsinchun Chen:
Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity. CoRR abs/2205.07853 (2022) - [i8]Rouzbeh Behnia, Mohammadreza Ebrahimi, Jason Pacheco, Balaji Padmanabhan:
EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy. CoRR abs/2210.15042 (2022) - [i7]James Lee Hu, Mohammadreza Ebrahimi, Weifeng Li, Xin Li, Hsinchun Chen:
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants. CoRR abs/2210.15429 (2022) - [i6]M. Nikhil Krishnan, MohammadReza Ebrahimi, Ashish Khisti:
Sequential Gradient Coding For Straggler Mitigation. CoRR abs/2211.13802 (2022) - 2021
- [b1]Mohammadreza Ebrahimi:
AI-Enabled Cybersecurity Analytics: Detecting and Defending Against Cyber Threats. University of Arizona, Tucson, USA, 2021 - [c12]James Lee Hu, Mohammadreza Ebrahimi, Hsinchun Chen:
Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach. ISI 2021: 1-6 - [c11]Yizhi Liu, Fang Yu Lin, Mohammadreza Ebrahimi, Weifeng Li, Hsinchun Chen:
Automated PII Extraction from Social Media for Raising Privacy Awareness: A Deep Transfer Learning Approach. ISI 2021: 1-6 - [c10]Mohammadreza Ebrahimi, Jason Pacheco, Weifeng Li, James Lee Hu, Hsinchun Chen:
Binary Black-Box Attacks Against Static Malware Detectors with Reinforcement Learning in Discrete Action Spaces. SP (Workshops) 2021: 85-91 - [i5]Yizhi Liu, Fang Yu Lin, Mohammadreza Ebrahimi, Weifeng Li, Hsinchun Chen:
Automated PII Extraction from Social Media for Raising Privacy Awareness: A Deep Transfer Learning Approach. CoRR abs/2111.09415 (2021) - [i4]James Lee Hu, Mohammadreza Ebrahimi, Hsinchun Chen:
Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach. CoRR abs/2112.01724 (2021) - 2020
- [j3]Mohammadreza Ebrahimi, Jay F. Nunamaker Jr., Hsinchun Chen:
Semi-Supervised Cyber Threat Identification in Dark Net Markets: A Transductive and Deep Learning Approach. J. Manag. Inf. Syst. 37(3): 694-722 (2020) - [j2]Mohammadreza Ebrahimi, Farshad Lahouti, Victoria Kostina:
Two-Layer Coded Channel Access With Collision Resolution: Design and Analysis. IEEE Trans. Wirel. Commun. 19(12): 7986-7997 (2020) - [c9]Fang Yu Lin, Yizhi Liu, Mohammadreza Ebrahimi, Zara Ahmad-Post, James Lee Hu, Jingyu Xin, Sagar Samtani, Weifeng Li, Hsinchun Chen:
Linking Personally Identifiable Information from the Dark Web to the Surface Web: A Deep Entity Resolution Approach. ICDM (Workshops) 2020: 488-495 - [c8]Yizhi Liu, Fang Yu Lin, Zara Ahmad-Post, Mohammadreza Ebrahimi, Ning Zhang, James Lee Hu, Jingyu Xin, Weifeng Li, Hsinchun Chen:
Identifying, Collecting, and Monitoring Personally Identifiable Information: From the Dark Web to the Surface Web. ISI 2020: 1-6 - [c7]Ning Zhang, Mohammadreza Ebrahimi, Weifeng Li, Hsinchun Chen:
A Generative Adversarial Learning Framework for Breaking Text-Based CAPTCHA in the Dark Web. ISI 2020: 1-6 - [c6]Mohammadreza Ebrahimi, Sagar Samtani, Yidong Chai, Hsinchun Chen:
Detecting Cyber Threats in Non-English Hacker Forums: An Adversarial Cross-Lingual Knowledge Transfer Approach. SP (Workshops) 2020: 20-26 - [i3]MohammadReza Ebrahimi, Navona Calarco, Kieran Campbell, Colin Hawco, Aristotle N. Voineskos, Ashish Khisti:
Time-Resolved fMRI Shared Response Model using Gaussian Process Factor Analysis. CoRR abs/2006.05572 (2020) - [i2]Mohammadreza Ebrahimi, Ning Zhang, James Lee Hu, Muhammad Taqi Raza, Hsinchun Chen:
Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model. CoRR abs/2012.07994 (2020)
2010 – 2019
- 2019
- [j1]Mohammadreza Ebrahimi, J. Daniel Martinez:
Involuntary Embarrassing Exposures in Online Social Networks: A Replication Study. AIS Trans. Replication Res. 5: 7 (2019) - [c5]Nolan Arnold, Mohammadreza Ebrahimi, Ning Zhang, Ben Lazarine, Mark W. Patton, Hsinchun Chen, Sagar Samtani:
Dark-Net Ecosystem Cyber-Threat Intelligence (CTI) Tool. ISI 2019: 92-97 - [c4]Po-Yi Du, Mohammadreza Ebrahimi, Ning Zhang, Hsinchun Chen, Randall A. Brown, Sagar Samtani:
Identifying High-Impact Opioid Products and Key Sellers in Dark Net Marketplaces: An Interpretable Text Analytics Approach. ISI 2019: 110-115 - [i1]MohammadReza Ebrahimi, Farshad Lahouti, Victoria Kostina:
Two-layer Coded Channel Access with Collision Resolution: Design and Analysis. CoRR abs/1909.00065 (2019) - 2018
- [c3]Po-Yi Du, Ning Zhang, Mohammadreza Ebrahimi, Sagar Samtani, Ben Lazarine, Nolan Arnold, Rachael Dunn, Sandeep Suntwal, Guadalupe Angeles, Robert Schweitzer, Hsinchun Chen:
Identifying, Collecting, and Presenting Hacker Community Data: Forums, IRC, Carding Shops, and DNMs. ISI 2018: 70-75 - [c2]Mohammadreza Ebrahimi, Mihai Surdeanu, Sagar Samtani, Hsinchun Chen:
Detecting Cyber Threats in Non-English Dark Net Markets: A Cross-Lingual Transfer Learning Approach. ISI 2018: 85-90 - 2017
- [c1]MohammadReza Ebrahimi, Farshad Lahouti, Victoria Kostina:
Coded random access design for constrained outage. ISIT 2017: 2732-2736
Coauthor Index
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