| Semantics derived automatically from language corpora contain human-like biases A Caliskan, JJ Bryson, A Narayanan Science 356 (6334), 183-186, 2017 | 3762 | 2017 |
| De-anonymizing Programmers via Code Stylometry A Caliskan, R Harang, A Li, A Narayanan, C Voss, F Yamaguchi, ... 24th Usenix Security Symposium, 2015 | 316* | 2015 |
| Detecting emergent intersectional biases: Contextualized word embeddings contain a distribution of human-like biases W Guo, A Caliskan Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AAAI …, 2021 | 261 | 2021 |
| Easily accessible text-to-image generation amplifies demographic stereotypes at large scale F Bianchi, P Kalluri, E Durmus, F Ladhak, M Cheng, D Nozza, ... The 2023 ACM Conference on Fairness, Accountability, and Transparency (ACM …, 2023 | 252 | 2023 |
| 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 | 190 | 2021 |
| Doppelgänger Finder: Taking Stylometry To The Underground S Afroz, A Caliskan, A Stolerman, R Greenstadt, D McCoy IEEE Symposium on Security and Privacy, 2014 | 182 | 2014 |
| 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 | 165 | 2018 |
| 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 | 132 | 2012 |
| Approaches to adversarial drift A Kantchelian, S Afroz, L Huang, A Caliskan, B Miller, MC Tschantz, ... Proceedings of the 2013 ACM workshop on Artificial intelligence and security …, 2013 | 118 | 2013 |
| Privacy Detective: Detecting Private Information and Collective Privacy Behavior in a Large Social Network A Caliskan, J Walsh, R Greenstadt Proceedings of the 13th Workshop on Privacy in the Electronic Society, 35--46, 2014 | 112 | 2014 |
| Disparate Impact of Artificial Intelligence Bias in Ridehailing Economy's Price Discrimination Algorithms A Pandey, A Caliskan Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AAAI …, 2021 | 95* | 2021 |
| ChatGPT Perpetuates Gender Bias in Machine Translation and Ignores Non-Gendered Pronouns: Findings across Bengali and Five other Low-Resource Languages S Ghosh, A Caliskan AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AAAI …, 2023 | 94 | 2023 |
| Historical Representations of Social Groups Across 200 Years of Word Embeddings from Google Books T Charlesworth, A Caliskan, MR Banaji Proceedings of the National Academy of Sciences (PNAS 2022), 2022 | 83 | 2022 |
| Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics A Caliskan, PP Ajay, T Charlesworth, R Wolfe, MR Banaji In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 2022 | 73 | 2022 |
| 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 | 67* | 2019 |
| Social biases in word embeddings and their relation to human cognition A Caliskan, M Lewis https://psyarxiv.com/d84kg, 2020 | 60 | 2020 |
| Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models R Wolfe, A Caliskan Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 53 | 2021 |
| 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 | 47 | 2012 |
| American == White in Multimodal Language-and-Image AI R Wolfe, A Caliskan AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AAAI …, 2022 | 46 | 2022 |
| Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias R Wolfe, Y Yang, B Howe, A Caliskan The 2023 ACM Conference on Fairness, Accountability, and Transparency (ACM …, 2023 | 45 | 2023 |
Rachel GreenstadtComputer Science and Engineering Department, New York UniversityVerified email at nyu.edu
