Sadegh Farhang

Sadegh Farhang is a PhD candidate (ABD) at the College of Information Sciences and Technology, Pennsylvania State University, working under supervision of Prof. Jens Grossklags and Prof. Peng Liu.

• Machine Learning and Deep Learning

• Fairness in Machine Learning

• Explainable AI and Machine Learning

• Security and Privacy

• Machine Learning and Security

• Game Theory and Mechanism Design

Data Science Intern, Autodesk

Machine Learning Research Intern, USC Center for AI in Society

1. S. Farhang, M. B. Kirdan, A. Laszka, and J. Grossklags. "An Empirical Study of Android Security Bulletins in Different Vendors." In The Web Conference (WWW) 2020. PDF

2. M. M. Kamani, S. Farhang, M. Mahdavi, and J. Z. Wang. "Targeted Data-driven Regularization for Out-of-Distribution Generalization." In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2020.

3. M. M. Kamani, S. Farhang, M. Mahdavi, and J. Z. Wang. "Targeted Meta-Learning Framework for Critical Incident Detection in Weather Data." In Climate Change: How AI Can Help? Workshop at International Conference on Machine Learning (ICML) 2019. PDF

4. M. Nasr, S. Farhang, A. Houmansadr, and J. Grossklags. "Enemy At the Gateways: Censorship-Resilient Proxy Distribution Using Game Theory." In Network and Distributed System Security Symposium (NDSS) 2019. Acceptance rate: 17.1% = 89/521 PDF

5. S. Farhang, M. B. Kirdan, A. Laszka, and J. Grossklags. "Hey Google, What Exactly Do Your Security Patches Tell Us? A Large-Scale Empirical Study on Android Patched Vulnerabilities." In Workshop on the Economics of Information Security (WEIS) 2019. PDF

6. S. Farhang, J. Weidman, M. M. Kamani, J. Grossklags, and P. Liu. "Take It or Leave It: A Survey Study on Operating System Upgrade Practices." In Annual Computer Security Applications Conference (ACSAC) 2018. Acceptance rate: 20.1% = 60/299. Publisher Site

7. S. Farhang, A. Laszka, and J. Grossklags. "An Economic Study of the Effect of Android Platform Fragmentation on Security Patch Updates." In Conference on Financial Cryptography and Data Security (FC) 2018. Acceptance Rate: 26.6% = 29/109. Publisher Site

8. S. Farhang, and J. Grossklags. "When to Invest in Security? Empirical Evidence and a Game-Theoretic Approach for Time-Based Security." In Workshop on the Economics of Information Security (WEIS) 2017. Acceptance rate: 31.4% = 22/70. PDF

9. A. Laszka, S. Farhang, and J. Grossklags. "On the Economics of Ransomware." In Conference on Decision and Game Theory for Security (GameSec) 2017. Publisher Site

10. L. Guan, S. Farhang, Y. Pu, P. Gua, J. Grossklags, and P. Liu. "VaultIME: Regaining User Control For Password Manager through Auto-correction." In Conference on Security and Privacy in Communication Networks (SecureComm) 2017. Publisher Site

11. S. Farhang, and J. Grossklags. "FlipLeakage: A Game-Theoretic Approach to Protect Against Stealthy Attackers in the Presence of Information Leakage." In Conference on Decision and Game Theory for Security (GameSec) 2016. Publisher Site

12. J. Pawlick, S. Farhang, and Q. Zhu. "Flip the Cloud: Cyber-Physical Signaling Games in the Presence of Advanced Persistent Threats." In Conference on Decision and Game Theory for Security (GameSec) 2015. Publisher Site

13. S. Farhang, Y. Hayel, and Q. Zhu. "PHY-Layer Location Privacy-Preserving Access Point Selection Mechanism in Next-Generation Wireless Networks." In IEEE Conference on Communications and Network Security (CNS) 2015. Acceptance rate: 28.1% = 48/171. Publisher Site

14. S. Farhang, Y. Hayel, and Q. Zhu. "Physical Layer Location Privacy Issue in Wireless Small Cell Networks." In ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec) 2015. Publisher Site

15. S. Farhang, M. H. Manshaei, M. Nasr, and Q. Zhu. "A Dynamic Bayesian Security Game Framework for Strategic Defense Mechanism Design." In Conference on Decision and Game Theory for Security (GameSec) 2014. Publisher Site