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Mahmood Sharif
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2020 – today
- 2024
- [c18]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. NDSS 2024 - [c17]Matan Ben-Tov, Daniel Deutch, Nave Frost, Mahmood Sharif:
CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers. SP 2024: 1345-1364 - [c16]Mahmood Sharif, Pubali Datta, Andy Riddle, Kim Westfall, Adam Bates, Vijay Ganti, Matthew Lentz, David Ott:
DrSec: Flexible Distributed Representations for Efficient Endpoint Security. SP 2024: 3609-3624 - [c15]Yukiko Sawaya, Sarah Lu, Takamasa Isohara, Mahmood Sharif:
A High Coverage Cybersecurity Scale Predictive of User Behavior. USENIX Security Symposium 2024 - [i10]Tsufit Shua, Mahmood Sharif:
Adversarial Robustness Through Artifact Design. CoRR abs/2402.04660 (2024) - [i9]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. CoRR abs/2407.09004 (2024) - 2023
- [c14]Amit Cohen, Mahmood Sharif:
Accessorize in the Dark: A Security Analysis of Near-Infrared Face Recognition. ESORICS (3) 2023: 43-61 - [c13]Keane Lucas, Samruddhi Pai, Weiran Lin, Lujo Bauer, Michael K. Reiter, Mahmood Sharif:
Adversarial Training for Raw-Binary Malware Classifiers. USENIX Security Symposium 2023: 1163-1180 - [i8]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. CoRR abs/2306.16614 (2023) - [i7]Zebin Yun, Achi-Or Weingarten, Eyal Ronen, Mahmood Sharif:
The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations. CoRR abs/2312.11309 (2023) - 2022
- [j4]Haoze Wu
Scalable verification of GNN-based job schedulers. Proc. ACM Program. Lang. 6(OOPSLA2): 1036-1065 (2022) - [c12]Daniel Kats, Mahmood Sharif
"I Have No Idea What a Social Bot Is": On Users' Perceptions of Social Bots and Ability to Detect Them. HAI 2022: 32-40 - [c11]Weiran Lin, Keane Lucas, Lujo Bauer, Michael K. Reiter, Mahmood Sharif:
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks. ICML 2022: 13405-13430 - [d1]Haoze Wu
Artifact for Paper Scalable Verification of GNN-Based Job Schedulers. Zenodo, 2022 - [i6]Haoze Wu, Clark W. Barrett, Mahmood Sharif, Nina Narodytska, Gagandeep Singh
Scalable Verification of GNN-based Job Schedulers. CoRR abs/2203.03153 (2022) - 2021
- [c10]Keane Lucas
Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes. AsiaCCS 2021: 744-758 - [i5]Weiran Lin, Keane Lucas, Lujo Bauer
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks. CoRR abs/2112.14232 (2021) - 2020
- [c9]Camille Cobb, Milijana Surbatovich, Anna Kawakami, Mahmood Sharif, Lujo Bauer, Anupam Das, Limin Jia:
How Risky Are Real Users' IFTTT Applets? SOUPS @ USENIX Security Symposium 2020: 505-529
2010 – 2019
- 2019
- [j3]Mahmood Sharif
A General Framework for Adversarial Examples with Objectives. ACM Trans. Priv. Secur. 22(3): 16:1-16:30 (2019) - [c8]Mahmood Sharif, Kevin A. Roundy, Matteo Dell'Amico
A Field Study of Computer-Security Perceptions Using Anti-Virus Customer-Support Chats. CHI 2019: 78 - [i4]Mahmood Sharif, Lujo Bauer
n-ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers. CoRR abs/1912.09059 (2019) - [i3]Mahmood Sharif, Keane Lucas, Lujo Bauer
Optimization-Guided Binary Diversification to Mislead Neural Networks for Malware Detection. CoRR abs/1912.09064 (2019) - 2018
- [c7]Mahmood Sharif
Predicting Impending Exposure to Malicious Content from User Behavior. CCS 2018: 1487-1501 - [c6]Mahmood Sharif, Lujo Bauer
On the Suitability of Lp-Norms for Creating and Preventing Adversarial Examples. CVPR Workshops 2018: 1605-1613 - [c5]William Melicher, Anupam Das, Mahmood Sharif, Lujo Bauer, Limin Jia:
Riding out DOMsday: Towards Detecting and Preventing DOM Cross-Site Scripting. NDSS 2018 - [c4]Joshua Tan, Mahmood Sharif
Comparing Hypothetical and Realistic Privacy Valuations. WPES@CCS 2018: 168-182 - [i2]Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer, Michael K. Reiter:
Adversarial Generative Nets: Neural Network Attacks on State-of-the-Art Face Recognition. CoRR abs/1801.00349 (2018) - [i1]Mahmood Sharif, Lujo Bauer
On the Suitability of Lp-norms for Creating and Preventing Adversarial Examples. CoRR abs/1802.09653 (2018) - 2017
- [j2]Zachary Weinberg
Topics of Controversy: An Empirical Analysis of Web Censorship Lists. Proc. Priv. Enhancing Technol. 2017(1): 42-61 (2017) - [c3]Yukiko Sawaya, Mahmood Sharif, Nicolas Christin
Self-Confidence Trumps Knowledge: A Cross-Cultural Study of Security Behavior. CHI 2017: 2202-2214 - 2016
- [j1]William Melicher, Mahmood Sharif, Joshua Tan, Lujo Bauer
(Do Not) Track Me Sometimes: Users' Contextual Preferences for Web Tracking. Proc. Priv. Enhancing Technol. 2016(2): 135-154 (2016) - [c2]Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer
Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition. CCS 2016: 1528-1540 - 2013
- [c1]Orr Dunkelman, Margarita Osadchy, Mahmood Sharif:
Secure authentication from facial attributeswith no privacy loss. CCS 2013: 1403-1406
Coauthor Index
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last updated on 2024-10-24 20:30 CEST by the dblp team
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