Seguir
Sadia Afroz
Sadia Afroz
Avast, ICSI
Dirección de correo verificada de icsi.berkeley.edu - Página principal
Título
Citado por
Citado por
Año
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
4312012
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
3562014
Phishzoo: Detecting phishing websites by looking at them
S Afroz, R Greenstadt
2011 IEEE fifth international conference on semantic computing, 368-375, 2011
287*2011
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
2812021
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
2722012
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
1712014
Better Malware Ground Truth: Techniques for Weighting Anti-Virus Vendor Labels
A Kantchelian, MC Tschantz, S Afroz, B Miller, V Shankar, R Bachwani, ...
1342015
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
1322012
Approaches to Adversarial Drift
A Kantchelian, S Afroz, L Huang, AC Islam, B Miller, MC Tschantz, ...
AISec, 2013
1072013
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
106*2017
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
972016
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
92*2022
Reviewer Integration and Performance Measurement for Malware Detection
B Miller, A Kantchelian, MC Tschantz, S Afroz, R Bachwani, ...
DIMVA, 2016
912016
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
872017
SoK: Towards Grounding Censorship Circumvention in Empiricism
MC Tschantz, S Afroz, Anonymous, V Paxson
IEEE Security and Privacy, 2016
852016
Honor Among Thieves: A Common's Analysis of Cybercrime Economics
S Afroz, G Vaibhav, D McCoy, R Greenstadt
eCrime Research Summit 2013, 2013
842013
Adversarial Active Learning
B Miller, A Kantchelian, S Afroz, R Bachwani, E Dauber, L Huang, ...
AISec, 2014
792014
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
74*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
602018
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
552012
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20