Aylin Caliskan
Aylin Caliskan
Assistant Professor, University of Washington
Verified email at gwu.edu - Homepage
Cited by
Cited by
Semantics derived automatically from language corpora contain human-like biases
A Caliskan, JJ Bryson, A Narayanan
Science 356 (6334), 183-186, 2017
De-anonymizing Programmers via Code Stylometry
A Caliskan-Islam, R Harang, A Li, A Narayanan, C Voss, F Yamaguchi, ...
24th Usenix Security Symposium, 2015
Doppelgänger Finder: Taking Stylometry To The Underground
S Afroz, A Caliskan-Islam, A Stolerman, R Greenstadt, D McCoy
IEEE Symposium on Security and Privacy, 2014
Use Fewer Instances of the Letter "i": Toward Writing Style Anonymization.
AWE McDonald, S Afroz, A Caliskan, A Stolerman, R Greenstadt
Privacy Enhancing Technologies 7384, 299-318, 2012
When coding style survives compilation: De-anonymizing programmers from executable binaries
A Caliskan, F Yamaguchi, E Dauber, R Harang, K Rieck, R Greenstadt, ...
Network and Distributed System Security Symposium (NDSS) 2018, 2018
Approaches to adversarial drift
A Kantchelian, S Afroz, L Huang, AC Islam, B Miller, MC Tschantz, ...
Proceedings of the 2013 ACM workshop on Artificial intelligence and security …, 2013
Privacy Detective: Detecting Private Information and Collective Privacy Behavior in a Large Social Network
A Caliskan-Islam, J Walsh, R Greenstadt
Proceedings of the 13th Workshop on Privacy in the Electronic Society, 35--46, 2014
Translate once, translate twice, translate thrice and attribute: Identifying authors and machine translation tools in translated text
A Caliskan, R Greenstadt
2012 IEEE Sixth International Conference on Semantic Computing, 121-125, 2012
Git Blame Who?: Stylistic Authorship Attribution of Small, Incomplete Source Code Fragments
RG Edwin Dauber, Aylin Caliskan, Richard Harang, Gregory Shearer, Michael ...
Proceedings on Privacy Enhancing Technologies, 389–408, 2019
Semantics derived automatically from language corpora necessarily contain human biases
AC Islam, JJ Bryson, A Narayanan
CoRR, abs/1608.07187, 2016
How privacy flaws affect consumer perception
S Afroz, AC Islam, J Santell, A Chapin, R Greenstadt
2013 Third Workshop on Socio-Technical Aspects in Security and Trust, 10-17, 2013
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases
R Steed, A Caliskan
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021
Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases
W Guo, A Caliskan
arXiv preprint arXiv:2006.03955, 2020
Disparate Impact of Artificial Intelligence Bias in Ridehailing Economy's Price Discrimination Algorithms
A Pandey, A Caliskan
arXiv preprint arXiv:2006.04599, 2020
Stylometric fingerprints and privacy behavior in textual data
A Caliskan-Islam
Drexel University, 2015
Social biases in word embeddings and their relation to human cognition
A Caliskan, M Lewis
https://psyarxiv.com/d84kg, 2020
Poster: Git blame who?: Stylistic authorship attribution of small, incomplete source code fragments
E Dauber, A Caliskan, R Harang, R Greenstadt
2018 IEEE/ACM 40th International Conference on Software Engineering …, 2018
From language to family and back: Native language and language family identification from english text
A Stolerman, A Caliskan, R Greenstadt
Proceedings of the 2013 NAACL HLT Student Research Workshop, 32-39, 2013
A set of distinct facial traits learned by machines is not predictive of appearance bias in the wild
R Steed, A Caliskan
AI and Ethics, 1-12, 2021
Automatically Characterizing Targeted Information Operations Through Biases Present in Discourse on Twitter
A Toney, A Pandey, W Guo, D Broniatowski, A Caliskan
arXiv preprint arXiv:2004.08726, 2020
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