Mahmood Sharif

Senior Lecturer

About

Hi!

I’m a Senior Lecturer (≈ Assistant Professor) in the School of Computer Science at Tel Aviv University, where I lead the PLUS research group. My research interests are in the areas of computer security and privacy, machine learning, and human factors.

Prior to joining Tel Aviv University, I spent roughly two years with VMware’s and NortonLifeLock’s research groups. I received my Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University, where I was a member of CyLab and CUPS. I received my B.Sc. (via the Etgar/“Challenge” program) and M.Sc. (summa cum laude) degrees in Computer Science from the University of Haifa.

If you’re interested in joining our group, please do reach out.

Publications

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Keane Lucas, Weiran Lin, Lujo Bauer, Michael K. Reiter, Mahmood Sharif. "Training Robust ML-based Raw-Binary Malware Detectors in Hours, not Months." ACM Conference on Computer and Communications Security (CCS). 2024.

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Nadav Gat, Mahmood Sharif. "Harmful Bias: A General Label-Leakage Attack on Federated Learning from Bias Gradients." ACM Workshop on Artificial Intelligence and Security (AISec). 2024.

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Zebin Yun, Achi-Or Weingarten, Eyal Ronen, Mahmood Sharif. "The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations." ACM Workshop on Artificial Intelligence and Security (AISec). 2024.

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Zahra Rahmani, Nahal Shahini, Nadav Gat, Zebin Yun, Yuzhou Jiang, Ofir Farchy, Yaniv Harel, Vipin Chaudhary, Mahmood Sharif, Erman Ayday. "Privacy-Preserving Collaborative Genomic Research: A Real-Life Deployment and Vision." ACM Workshop on Cybersecurity in Healthcare (HealthSec). 2024.

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Yukiko Sawaya, Sarah Lu, Takamasa Isohara, Mahmood Sharif. "A High Coverage Cybersecurity Scale Predictive of User Behavior." USENIX Security Symposium. 2024.

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Matan Ben-Tov, Daniel Deutch, Nave Frost, Mahmood Sharif. "CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers." IEEE Symposium on Security and Privacy (S&P). 2024.

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Mahmood Sharif, Pubali Datta, Andy Riddle, Kim Westfall, Adam Bates, Vijay Ganti, Matthew Lentz, David Ott. "DrSec: Flexible Distributed Representations for Efficient Endpoint Security." IEEE Symposium on Security and Privacy (S&P). 2024.

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Weiran Lin, Keane Lucas, Neo Eyal, Lujo Bauer, Michael K. Reiter, Mahmood Sharif. "Group-based Robustness: A General Framework for Customized Robustness in the Real World." ISOC Network and Distributed System Security Symposium (NDSS). 2024.

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Amit Cohen, Mahmood Sharif. "Accessorize in the Dark: A Security Analysis of Near-Infrared Face Recognition." European Symposium on Research in Computer Security (ESORICS). 2023.

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Keane Lucas, Samruddhi Pai, Weiran Lin, Lujo Bauer, Michael K. Reiter, Mahmood Sharif. "Adversarial Training for Raw-Binary Malware Classifiers." USENIX Security Symposium. 2023.

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Arnav Chakravarthy, Nina Narodytska, Asmitha Rathis, Marius Vilcu, Mahmood Sharif, Gagandeep Singh. "Property-Driven Evaluation of RL-Controllers in Self-Driving Datacenters." Workshop on Challenges in Deploying and monitoring Machine Learning Systems (DMML@NeurIPS). 2022.

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Haoze Wu, Clark Barrett, Mahmood Sharif, Nina Narodytska, Gagandeep Singh. "Scalable Verification of GNN-based Job Schedulers." International Conference on Object-Oriented Programming, Systems, Languages & Applications (OOPSLA). 2022.

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Daniel Kats, Mahmood Sharif. ""I Have No Idea What a Social Bot Is": On Users' Perceptions of Social Bots and Ability to Detect Them." International Conference on Human-Agent Interaction (HAI). 2022.

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Weiran Lin, Keane Lucas, Lujo Bauer, Michael K. Reiter, Mahmood Sharif. "Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks." International Conference on Machine Learning (ICML). 2022.

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Keane Lucas, Mahmood Sharif, Lujo Bauer, Michael K. Reiter, Saurabh Shintre. "Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes." Asia Conference on Computer and Communications Security (AsiaCCS). 2021.

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Camille Cobb, Milijana Surbatovich, Anna Kawakami, Mahmood Sharif, Lujo Bauer, Anupam Das, Limin Jia. "How Risky Are Real Users' IFTTT Applets?." Symposium on Usable Privacy and Security (SOUPS). 2020.

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Molly Davies, Daniel Marino, Amelia Nash, Kevin A. Roundy, Mahmood Sharif, Acar Tamersoy. "Training Older Adults to Resist Scams with Fraud Bingo and Scam-Detection Challenges." Designing Interactions for the Ageing Populations Workshop at CHI. 2020.

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Mahmood Sharif, Lujo Bauer, Michael K. Reiter. "$n$-ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers." arXiv pre-print. 2019.

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Mahmood Sharif. "Practical Inference-Time Attacks Against Machine-Learning Systems and a Defense Against Them." Carnegie Mellon University. 2019.

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Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer, Michael K. Reiter. "A General Framework for Adversarial Examples with Objectives." ACM Transactions on Privacy and Security (TOPS). 2019.

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Mahmood Sharif, Kevin A. Roundy, Matteo Dellamico, Christopher Gates, Daniel Kats, Lujo Bauer, Nicolas Christin. "A Field Study of Computer-Security Perceptions Using Anti-Virus Customer-Support Chats." ACM Conference on Human Factors in Computing Systems (CHI). 2019.

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Joshua Tan, Mahmood Sharif, Sruti Bhagavatula, Matthias Beckerle, Lujo Bauer, Michelle Mazurek. "Comparing Hypothetical and Realistic Privacy Valuations." Workshop on Privacy in the Electronic Society (WPES). 2018.

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Mahmood Sharif, Jumpei Urakawa, Nicolas Christin, Ayumu Kubota, Akira Yamada. "Predicting Impending Exposure to Malicious Content from User Behavior." ACM Conference on Computer and Communications Security (CCS). 2018.

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Mahmood Sharif, Lujo Bauer, Michael K. Reiter. "On the Suitability of $L_p$-norms for Creating and Preventing Adversarial Examples." The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CVPRW). 2018.

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William Melicher, Anupam Das, Mahmood Sharif, Lujo Bauer, Limin Jia. "Riding Out DOMsday: Toward Detecting and Preventing DOM Cross-Site Scripting." ISOC Network and Distributed System Security Symposium (NDSS). 2018.

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Zachary Weinberg, Mahmood Sharif, Janos Szurdi, Nicolas Christin. "Topics of Controversy: An Empirical Analysis of Web Censorship Lists." Annual Privacy Enhancing Technologies Symposium (PETS). 2017.

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Yukiko Sawaya, Mahmood Sharif, Nicolas Christin, Ayumu Kubota, Akihiro Nakarai, Akira Yamada. "Self-Confidence Trumps Knowledge: A Cross-Cultural Study of Security Behavior." ACM Conference on Human Factors in Computing Systems (CHI). 2017. Equal contribution by the first two authors.

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Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer, Michael K. Reiter. "Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition." ACM Conference on Computer and Communications Security (CCS). 2016.

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William Melicher, Mahmood Sharif, Joshua Tan, Lujo Bauer, Mihai Christodorescu, Pedro G. Leon. "(Do Not) Track Me Sometimes: Users' Contextual Preferences for Web Tracking." Annual Privacy Enhancing Technologies Symposium (PETS). 2016.

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Mahmood Sharif

Senior Lecturer

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