| Semantics derived automatically from language corpora contain human-like biases A Caliskan, J Bryson, A Narayanan Science 356 (6334), 183-186, 2017 | 1065 | 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 | 152 | 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 | 106 | 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 | 87 | 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 | 81 | 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 | 67 | 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 | 51 | 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 | 33 | 2012 |
| Semantics derived automatically from language corpora necessarily contain human biases AC Islam, JJ Bryson, A Narayanan CoRR, abs/1608.07187, 2016 | 22 | 2016 |
| 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 | 18 | 2019 |
| 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 | 14 | 2013 |
| Stylometric fingerprints and privacy behavior in textual data A Caliskan-Islam Drexel University, 2015 | 12 | 2015 |
| 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 | 8 | 2018 |
| Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases W Guo, A Caliskan arXiv preprint arXiv:2006.03955, 2020 | 4 | 2020 |
| 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 | 4 | 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, 2021 | 3* | 2021 |
| Iterative Effect-Size Bias in Ridehailing: Measuring Social Bias in Dynamic Pricing of 100 Million Rides A Pandey, A Caliskan arXiv preprint arXiv:2006.04599, 2020 | 2 | 2020 |
| Social biases in word embeddings and their relation to human cognition A Caliskan, M Lewis https://psyarxiv.com/d84kg, 2020 | 1 | 2020 |
| ValNorm: A New Word Embedding Intrinsic Evaluation Method Reveals Valence Biases are Consistent Across Languages and Over Decades A Toney, A Caliskan arXiv preprint arXiv:2006.03950, 2020 | 1 | 2020 |
| How do we decide how much to reveal? A Caliskan-Islam ACM SIGCAS Computers and Society 45 (1), 14-15, 2015 | 1 | 2015 |
Rachel GreenstadtComputer Science and Engineering Department, New York UniversityBestätigte E-Mail-Adresse bei nyu.edu
