Mixed-initiative security agents. - Rachel Greenstadt; Sadia Afroz 001; Michael Brennan (AISec, 2009)

PhishZoo: Detecting Phishing Websites by Looking at Them. - Sadia Afroz 001; Rachel Greenstadt (ICSC, 2011)

LexOnt: A Semi-Automatic Ontology Creation Tool for Programmable Web. - Knarig Arabshian; Peter J. Danielsen; Sadia Afroz 001 (AAAI Spring Symposium: Intelligent Web Services Meet Social Computing, 2012)

Robust detection of comment spam using entropy rate. - Alex Kantchelian; Justin Ma; Ling Huang 001; Sadia Afroz 001; Anthony D. Joseph; J. D. Tygar (AISec, 2012)

Use Fewer Instances of the Letter "i": Toward Writing Style Anonymization. - Andrew W. E. McDonald; Sadia Afroz 001; Aylin Caliskan; Ariel Stolerman; Rachel Greenstadt (Privacy Enhancing Technologies, 2012)

Detecting Hoaxes, Frauds, and Deception in Writing Style Online. - Sadia Afroz 001; Michael Brennan; Rachel Greenstadt (IEEE Symposium on Security and Privacy, 2012)

Adversarial stylometry: Circumventing authorship recognition to preserve privacy and anonymity. - Michael Brennan; Sadia Afroz 001; Rachel Greenstadt (ACM Trans. Inf. Syst. Secur., 2012)

Approaches to adversarial drift. - Alex Kantchelian; Sadia Afroz 001; Ling Huang 001; Aylin Caliskan Islam; Brad Miller 002; Michael Carl Tschantz; Rachel Greenstadt; Anthony D. Joseph; J. D. Tygar (AISec, 2013)

Honor among thieves: A common's analysis of cybercrime economies. - Sadia Afroz 001; Vaibhav Garg; Damon McCoy; Rachel Greenstadt (eCrime, 2013)

How Privacy Flaws Affect Consumer Perception. - Sadia Afroz 001; Aylin Caliskan Islam; Jordan Santell; Aaron Chapin; Rachel Greenstadt (STAST, 2013)

A Critical Evaluation of Website Fingerprinting Attacks. - Marc Juarez; Sadia Afroz 001; Gunes Acar; Claudia Díaz; Rachel Greenstadt (CCS, 2014)

Adversarial Active Learning. - Brad Miller 002; Alex Kantchelian; Sadia Afroz 001; Rekha Bachwani; Edwin Dauber; Ling Huang 001; Michael Carl Tschantz; Anthony D. Joseph; J. Doug Tygar (AISec@CCS, 2014)

Breaking the Closed-World Assumption in Stylometric Authorship Attribution. - Ariel Stolerman; Rebekah Overdorf; Sadia Afroz 001; Rachel Greenstadt (IFIP Int. Conf. Digital Forensics, 2014)

Doppelgänger Finder: Taking Stylometry to the Underground. - Sadia Afroz 001; Aylin Caliskan Islam; Ariel Stolerman; Rachel Greenstadt; Damon McCoy (IEEE Symposium on Security and Privacy, 2014)

On Modeling the Costs of Censorship. - Michael Carl Tschantz; Sadia Afroz 001; Vern Paxson; J. Doug Tygar (CoRR, 2014)

Better Malware Ground Truth: Techniques for Weighting Anti-Virus Vendor Labels. - Alex Kantchelian; Michael Carl Tschantz; Sadia Afroz 001; Brad Miller 002; Vaishaal Shankar; Rekha Bachwani; Anthony D. Joseph; J. Doug Tygar (AISec@CCS, 2015)

Computer-Supported Cooperative Crime. - Vaibhav Garg; Sadia Afroz 001; Rebekah Overdorf; Rachel Greenstadt (Financial Cryptography, 2015)

Back to the Future: Malware Detection with Temporally Consistent Labels. - Brad Miller 002; Alex Kantchelian; Michael Carl Tschantz; Sadia Afroz 001; Rekha Bachwani; Riyaz Faizullabhoy; Ling Huang 001; Vaishaal Shankar; Tony Wu 002; George Yiu; Anthony D. Joseph; J. D. Tygar (CoRR, 2015)

Reviewer Integration and Performance Measurement for Malware Detection. - Brad Miller 002; Alex Kantchelian; Michael Carl Tschantz; Sadia Afroz 001; Rekha Bachwani; Riyaz Faizullabhoy; Ling Huang 001; Vaishaal Shankar; Tony Wu 002; George Yiu; Anthony D. Joseph; J. D. Tygar (DIMVA, 2016)

Profiling underground merchants based on network behavior. - Srikanth Sundaresan; Damon McCoy; Sadia Afroz 001; Vern Paxson (eCrime, 2016)

Do You See What I See? Differential Treatment of Anonymous Users. - Sheharbano Khattak; David Fifield; Sadia Afroz 001; Mobin Javed; Srikanth Sundaresan; Damon McCoy; Vern Paxson; Steven J. Murdoch (NDSS, 2016)

SoK: Towards Grounding Censorship Circumvention in Empiricism. - Michael Carl Tschantz; Sadia Afroz 001; anonymous; Vern Paxson (IEEE Symposium on Security and Privacy, 2016)

Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation. - Greg Durrett; Jonathan K. Kummerfeld; Taylor Berg-Kirkpatrick; Rebecca S. Portnoff; Sadia Afroz 001; Damon McCoy; Kirill Levchenko; Vern Paxson (EMNLP, 2017)

Backpage and Bitcoin: Uncovering Human Traffickers. - Rebecca S. Portnoff; Danny Yuxing Huang; Periwinkle Doerfler; Sadia Afroz 001; Damon McCoy (KDD, 2017)

Characterizing the Nature and Dynamics of Tor Exit Blocking. - Rachee Singh; Rishab Nithyanand; Sadia Afroz 001; Paul Pearce; Michael Carl Tschantz; Phillipa Gill; Vern Paxson (USENIX Security Symposium, 2017)

Tools for Automated Analysis of Cybercriminal Markets. - Rebecca S. Portnoff; Sadia Afroz 001; Greg Durrett; Jonathan K. Kummerfeld; Taylor Berg-Kirkpatrick; Damon McCoy; Kirill Levchenko; Vern Paxson (WWW, 2017)

Session details: Keynote Address. - Sadia Afroz 001 (AISec@CCS, 2018)

11th International Workshop on Artificial Intelligence and Security (AISec 2018). - Sadia Afroz 001; Battista Biggio; Yuval Elovici; David Freeman 001; Asaf Shabtai (CCS, 2018)

Adversarially Robust Malware Detection Using Monotonic Classification. - Inigo Incer; Michael Theodorides; Sadia Afroz 001; David A. Wagner 001 (IWSPA@CODASPY, 2018)

A Bestiary of Blocking: The Motivations and Modes behind Website Unavailability. - Michael Carl Tschantz; Sadia Afroz 001; Shaarif Sajid; Shoaib Asif Qazi; Mobin Javed; Vern Paxson (FOCI @ USENIX Security Symposium, 2018)

Exploring Server-side Blocking of Regions. - Sadia Afroz 001; Michael Carl Tschantz; Shaarif Sajid; Shoaib Asif Qazi; Mobin Javed; Vern Paxson (CoRR, 2018)

Towards Automatic Discovery of Cybercrime Supply Chains. - Rasika Bhalerao; Maxwell Aliapoulios; Ilia Shumailov; Sadia Afroz 001; Damon McCoy (CoRR, 2018)

AISec'19: 12th ACM Workshop on Artificial Intelligence and Security. - Sadia Afroz 001; Battista Biggio; Nicholas Carlini; Yuval Elovici; Asaf Shabtai (CCS, 2019)

Mapping the Underground: Supervised Discovery of Cybercrime Supply Chains. - Rasika Bhalerao; Maxwell Aliapoulios; Ilia Shumailov; Sadia Afroz 001; Damon McCoy (eCrime, 2019)

A Benchmark Study on Machine Learning Methods for Fake News Detection. - Junaed Younus Khan; Md. Tawkat Islam Khondaker; Anindya Iqbal; Sadia Afroz 001 (CoRR, 2019)

AISec'20: 13th Workshop on Artificial Intelligence and Security. - Sadia Afroz 001; Nicholas Carlini; Ambra Demontis (CCS, 2020)

Quantifying the Impact of Blocklisting in the Age of Address Reuse. - Sivaramakrishnan Ramanathan; Anushah Hossain; Jelena Mirkovic; Minlan Yu; Sadia Afroz 001 (Internet Measurement Conference, 2020)

Automatic Generation of Adversarial Examples for Interpreting Malware Classifiers. - Wei Song; Xuezixiang Li; Sadia Afroz 001; Deepali Garg; Dmitry Kuznetsov; Heng Yin 001 (CoRR, 2020)

Mutual Hyperlinking Among Misinformation Peddlers. - Vibhor Sehgal; Ankit Peshin; Sadia Afroz 001; Hany Farid (CoRR, 2021)

MAB-Malware: A Reinforcement Learning Framework for Blackbox Generation of Adversarial Malware. - Wei Song; Xuezixiang Li; Sadia Afroz 001; Deepali Garg; Dmitry Kuznetsov; Heng Yin 001 (AsiaCCS, 2022)

MisVis: Explaining Web Misinformation Connections via Visual Summary. - Seongmin Lee 007; Sadia Afroz 001; Haekyu Park; Zijie J. Wang; Omar Shaikh; Vibhor Sehgal; Ankit Peshin; Duen Horng Chau (CHI Extended Abstracts, 2022)

Explaining Website Reliability by Visualizing Hyperlink Connectivity. - Seongmin Lee 007; Sadia Afroz 001; Haekyu Park; Zijie J. Wang; Omar Shaikh; Vibhor Sehqal; Ankit Peshin; Duen Horng Chau (IEEE VIS (Short Papers), 2022)

PermPress: Machine Learning-Based Pipeline to Evaluate Permissions in App Privacy Policies. - Muhammad Sajidur Rahman; Pirouz Naghavi; Blas Kojusner; Sadia Afroz 001; Byron Williams; Sara Rampazzi; Vincent Bindschaedler (IEEE Access, 2022)

Domain-Level Detection and Disruption of Disinformation. - Elliott Waissbluth; Hany Farid; Vibhor Sehgal; Ankit Peshin; Sadia Afroz 001 (CoRR, 2022)

Explaining Website Reliability by Visualizing Hyperlink Connectivity. - Seongmin Lee 007; Sadia Afroz 001; Haekyu Park; Zijie J. Wang; Omar Shaikh; Vibhor Sehgal; Ankit Peshin; Duen Horng Chau (CoRR, 2022)

The Art of Cybercrime Community Research. - Jack Hughes 001; Sergio Pastrana; Alice Hutchings; Sadia Afroz 001; Sagar Samtani; Weifeng Li 002; Ericsson Santana Marin (ACM Comput. Surv., 2024)