Sadia Afroz

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Rachel GreenstadtComputer Science and Engineering Department, New York UniversityVerified email at nyu.edu
Vern PaxsonProfessor, EECS, University of California, BerkeleyVerified email at berkeley.edu
Damon McCoyAssociate Professor of Computer Science and Engineering, New York UniversityVerified email at nyu.edu
Alex KantchelianGoogleVerified email at google.com
Anthony D. JosephUniversity of California BerkeleyVerified email at eecs.berkeley.edu
Ling HuangAHI FintechVerified email at cs.berkeley.edu
Rekha BachwaniDirector, Disney StreamingVerified email at berkeley.edu
Vaishaal ShankarAppleVerified email at apple.com
Rebecca Sorla PortnoffUC BerkeleyVerified email at cs.berkeley.edu
Marc JuarezAssistant Professor, School of Informatics - University of EdinburghVerified email at ed.ac.uk
Rebekah OverdorfUNILVerified email at unil.ch
Claudia DiazKU LeuvenVerified email at esat.kuleuven.be
Gunes AcarAssistant Professor at Radboud UniversityVerified email at cs.ru.nl
Taylor Berg-KirkpatrickUniversity of California San DiegoVerified email at ucsd.edu
Jonathan K. KummerfeldSenior Lecturer (ie. research tenure-track Asst. Prof.), University of SydneyVerified email at sydney.edu.au
Greg DurrettAssistant Professor of Computer Science, UT AustinVerified email at cs.utexas.edu
Srikanth SundaresanMetaVerified email at gatech.edu
Shaarif SajidGeorgia Institute of TechnologyVerified email at gatech.edu
Ilia ShumailovJRF Christ Church, University of Oxford; PhD, University of Cambridge; Fellow, Vector InstituteVerified email at cl.cam.ac.uk
Ariel StolermanDrexel UniversityVerified email at cs.drexel.edu

Sadia Afroz

Avast, ICSI

Verified email at icsi.berkeley.edu - Homepage

Security Privacy Machine Learning


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Detecting hoaxes, frauds, and deception in writing style online S Afroz, M Brennan, R Greenstadt 2012 IEEE Symposium on Security and Privacy, 461-475, 2012	369	2012
A Critical Evaluation of Website Fingerprinting Attacks M Juarez, S Afroz, G Acar, C Diaz, R Greenstadt Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications …, 2014	290	2014
Phishzoo: Detecting phishing websites by looking at them S Afroz, R Greenstadt 2011 IEEE fifth international conference on semantic computing, 368-375, 2011	248*	2011
Adversarial Stylometry: Circumventing Authorship Recognition to Preserve Privacy and Anonymity M BRENNAN, S AFROZ, R GREENSTADT ACM Transactions on Information and System Security (TISSEC) 15 (3), 12:1--12:22, 2012	245	2012
A benchmark study of machine learning models for online fake news detection JY Khan, MTI Khondaker, S Afroz, G Uddin, A Iqbal Machine Learning with Applications 4, 100032, 2021	182*	2021
Doppelgänger Finder: Taking Stylometry To The Underground S Afroz, A Caliskan-Islam, A Stolerman, R Greenstadt, D McCoy IEEE Symposium on Security and Privacy, 212--226, 2014	149	2014
Better Malware Ground Truth: Techniques for Weighting Anti-Virus Vendor Labels A Kantchelian, MC Tschantz, S Afroz, B Miller, V Shankar, R Bachwani, ...	123	2015
Use Fewer Instances of the Letter “i”: Toward Writing Style Anonymization AWE McDonald, S Afroz, A Caliskan, A Stolerman, R Greenstadt PETS'12, 299--318, 2012	123	2012
Do You See What I See?: Differential Treatment of Anonymous Users S Khattak, D Fifield, S Afroz, M Javed, S Sundaresan, V Paxson, ... Network and Distributed System Security Symposium (NDSS) 2016, 2016	92	2016
Tools for Automated Analysis of Cybercriminal Markets VP Rebecca S. Portnoff, Sadia Afroz, Greg Durrett, Jonathan K. Kummerfeld ... 26th International World Wide Web Conference, 2017, 2017	90*	2017
Approaches to Adversarial Drift A Kantchelian, S Afroz, L Huang, AC Islam, B Miller, MC Tschantz, ... AISec, 2013	88	2013
Honor Among Thieves: A Common's Analysis of Cybercrime Economics S Afroz, G Vaibhav, D McCoy, R Greenstadt eCrime Research Summit 2013, 2013	80	2013
Backpage and Bitcoin: Uncovering Human Traffickers RS Portnoff, DY Huang, P Doerfler, S Afroz, D McCoy Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017	74	2017
Reviewer Integration and Performance Measurement for Malware Detection B Miller, A Kantchelian, MC Tschantz, S Afroz, R Bachwani, ... DIMVA, 2016	72	2016
SoK: Towards Grounding Censorship Circumvention in Empiricism MC Tschantz, S Afroz, Anonymous, V Paxson IEEE Security and Privacy, 2016	70	2016
Breaking the Closed-World Assumption in Stylometric Authorship Attribution A Stolerman, R Overdorf, S Afroz, R Greenstadt Advances in Digital Forensics X, 185-205, 2014	70*	2014
Adversarial Active Learning B Miller, A Kantchelian, S Afroz, R Bachwani, E Dauber, L Huang, ... AISec, 2014	69	2014
Adversarially robust malware detection using monotonic classification Í Íncer Romeo, M Theodorides, S Afroz, D Wagner Proceedings of the Fourth ACM International Workshop on Security and Privacy …, 2018	50	2018
Robust detection of comment spam using entropy rate A Kantchelian, J Ma, L Huang, S Afroz, A Joseph, JD Tygar Proceedings of the 5th ACM workshop on Security and artificial intelligence …, 2012	50	2012
MAB-Malware: A Reinforcement Learning Framework for Blackbox Generation of Adversarial Malware W Song, X Li, S Afroz, D Garg, D Kuznetsov, H Yin Proceedings of the 2022 ACM on Asia Conference on Computer and …, 2022	49*	2022

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