Mahmood Sharif

According to our database, Mahmood Sharif authored at least 32 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adversarial Robustness Through Artifact Design.

Tsufit Shua, Mahmood Sharif

CoRR, 2024

A High Coverage Cybersecurity Scale Predictive of User Behavior.

Yukiko Sawaya, Sarah Lu, Takamasa Isohara, Mahmood Sharif

Proceedings of the 33rd USENIX Security Symposium, 2024

DrSec: Flexible Distributed Representations for Efficient Endpoint Security.

Mahmood Sharif, Pubali Datta, Andy Riddle, Kim Westfall, Adam Bates, Vijay Ganti, Matthew Lentz, David Ott

Proceedings of the IEEE Symposium on Security and Privacy, 2024

CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers.

Matan Ben-Tov, Daniel Deutch, Nave Frost, Mahmood Sharif

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Group-based Robustness: A General Framework for Customized Robustness in the Real World.

Weiran Lin, Keane Lucas, Neo Eyal, Lujo Bauer, Michael K. Reiter, Mahmood Sharif

Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

Privacy-Preserving Collaborative Genomic Research: A Real-Life Deployment and Vision.

Zahra Rahmani, Nahal Shahini, Nadav Gat, Zebin Yun, Yuzhou Jiang, Ofir Farchy, Yaniv Harel, Vipin Chaudhary, Erman Ayday, Mahmood Sharif

Proceedings of the 2024 Workshop on Cybersecurity in Healthcare, 2024

Training Robust ML-based Raw-Binary Malware Detectors in Hours, not Months.

Keane Lucas, Weiran Lin, Lujo Bauer, Michael K. Reiter, Mahmood Sharif

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations.

Zebin Yun, Achi-Or Weingarten, Eyal Ronen, Mahmood Sharif

Proceedings of the 2024 Workshop on Artificial Intelligence and Security, 2024

Harmful Bias: A General Label-Leakage Attack on Federated Learning from Bias Gradients.

Nadav Gat, Mahmood Sharif

Proceedings of the 2024 Workshop on Artificial Intelligence and Security, 2024

2023

Adversarial Training for Raw-Binary Malware Classifiers.

Keane Lucas, Samruddhi Pai, Weiran Lin, Lujo Bauer, Michael K. Reiter, Mahmood Sharif

Proceedings of the 32nd USENIX Security Symposium, 2023

Accessorize in the Dark: A Security Analysis of Near-Infrared Face Recognition.

Amit Cohen, Mahmood Sharif

Proceedings of the Computer Security - ESORICS 2023, 2023

2022

Artifact for Paper Scalable Verification of GNN-Based Job Schedulers.

Haoze Wu, Clark W. Barrett, Mahmood Sharif, Nina Narodytska, Gagandeep Singh

Dataset, September, 2022

Scalable verification of GNN-based job schedulers.

Haoze Wu, Clark W. Barrett, Mahmood Sharif, Nina Narodytska, Gagandeep Singh

Proc. ACM Program. Lang., 2022

Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks.

Weiran Lin, Keane Lucas, Lujo Bauer, Michael K. Reiter, Mahmood Sharif

Proceedings of the International Conference on Machine Learning, 2022

"I Have No Idea What a Social Bot Is": On Users' Perceptions of Social Bots and Ability to Detect Them.

Daniel Kats, Mahmood Sharif

Proceedings of the International Conference on Human-Agent Interaction, 2022

2021

Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes.

Keane Lucas, Mahmood Sharif, Lujo Bauer, Michael K. Reiter, Saurabh Shintre

Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021

2020

How Risky Are Real Users' IFTTT Applets?

Camille Cobb, Milijana Surbatovich, Anna Kawakami, Mahmood Sharif, Lujo Bauer, Anupam Das, Limin Jia

Proceedings of the Sixteenth Symposium on Usable Privacy and Security, 2020

2019

A General Framework for Adversarial Examples with Objectives.

Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer, Michael K. Reiter

ACM Trans. Priv. Secur., 2019

Optimization-Guided Binary Diversification to Mislead Neural Networks for Malware Detection.

Mahmood Sharif, Keane Lucas, Lujo Bauer, Michael K. Reiter, Saurabh Shintre

CoRR, 2019

n-ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers.

Mahmood Sharif, Lujo Bauer, Michael K. Reiter

CoRR, 2019

A Field Study of Computer-Security Perceptions Using Anti-Virus Customer-Support Chats.

Mahmood Sharif, Kevin A. Roundy, Matteo Dell'Amico, Christopher Gates, Daniel Kats, Lujo Bauer, Nicolas Christin

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

On the Suitability of L_p-norms for Creating and Preventing Adversarial Examples.

Mahmood Sharif, Lujo Bauer, Michael K. Reiter

CoRR, 2018

Adversarial Generative Nets: Neural Network Attacks on State-of-the-Art Face Recognition.

Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer, Michael K. Reiter

CoRR, 2018

Comparing Hypothetical and Realistic Privacy Valuations.

Joshua Tan, Mahmood Sharif, Sruti Bhagavatula, Matthias Beckerle, Michelle L. Mazurek, Lujo Bauer

Proceedings of the 2018 Workshop on Privacy in the Electronic Society, 2018

Riding out DOMsday: Towards Detecting and Preventing DOM Cross-Site Scripting.

William Melicher, Anupam Das, Mahmood Sharif, Lujo Bauer, Limin Jia

Proceedings of the 25th Annual Network and Distributed System Security Symposium, 2018

On the Suitability of Lp-Norms for Creating and Preventing Adversarial Examples.

Mahmood Sharif, Lujo Bauer, Michael K. Reiter

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Predicting Impending Exposure to Malicious Content from User Behavior.

Mahmood Sharif, Jumpei Urakawa, Nicolas Christin, Ayumu Kubota, Akira Yamada

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017

Topics of Controversy: An Empirical Analysis of Web Censorship Lists.

Zachary Weinberg, Mahmood Sharif, Janos Szurdi, Nicolas Christin

Proc. Priv. Enhancing Technol., 2017

Self-Confidence Trumps Knowledge: A Cross-Cultural Study of Security Behavior.

Yukiko Sawaya, Mahmood Sharif, Nicolas Christin, Ayumu Kubota, Akihiro Nakarai, Akira Yamada

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016

(Do Not) Track Me Sometimes: Users' Contextual Preferences for Web Tracking.

William Melicher, Mahmood Sharif, Joshua Tan, Lujo Bauer, Mihai Christodorescu, Pedro Giovanni Leon

Proc. Priv. Enhancing Technol., 2016

Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition.

Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer, Michael K. Reiter

Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, 2016

2013

Secure authentication from facial attributeswith no privacy loss.

Orr Dunkelman, Margarita Osadchy, Mahmood Sharif

Proceedings of the 2013 ACM SIGSAC Conference on Computer and Communications Security, 2013