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2020 – today
- 2024
[c9]Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev:
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation. ACL (1) 2024: 12333-12347- [i6]Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev:
Beyond the Surface: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation. CoRR abs/2401.06310 (2024) - [i5]Susan Hao, Renee Shelby, Yuchi Liu, Hansa Srinivasan, Mukul Bhutani, Burcu Karagol Ayan, Shivani Poddar, Sarah Laszlo:
Harm Amplification in Text-to-Image Models. CoRR abs/2402.01787 (2024) - [i4]Joshua N. Williams, Molly FitzMorris, Osman Aka, Sarah Laszlo:
DrawL: Understanding the Effects of Non-Mainstream Dialects in Prompted Image Generation. CoRR abs/2405.05382 (2024) - 2023
- [c8]Su Wang, Chitwan Saharia, Ceslee Montgomery, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J. Fleet, Radu Soricut, Jason Baldridge, Mohammad Norouzi, Peter Anderson, William Chan:
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting. CVPR 2023: 18359-18369 - [i3]Susan Hao, Piyush Kumar, Sarah Laszlo, Shivani Poddar, Bhaktipriya Radharapu, Renee Shelby:
Safety and Fairness for Content Moderation in Generative Models. CoRR abs/2306.06135 (2023) - [i2]Alicia Parrish, Sarah Laszlo, Lora Aroyo:
"Is a picture of a bird a bird": Policy recommendations for dealing with ambiguity in machine vision models. CoRR abs/2306.15777 (2023) - 2022
- [i1]Su Wang, Chitwan Saharia, Ceslee Montgomery, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J. Fleet, Radu Soricut, Jason Baldridge, Mohammad Norouzi, Peter Anderson, William Chan:
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting. CoRR abs/2212.06909 (2022)
2010 – 2019
- 2019
- [j4]Qiong Gui, Maria V. Ruiz-Blondet, Sarah Laszlo, Zhanpeng Jin
:
A Survey on Brain Biometrics. ACM Comput. Surv. 51(6): 112:1-112:38 (2019) - 2017
- [j3]Maria V. Ruiz-Blondet, Zhanpeng Jin, Sarah Laszlo:
Permanence of the CEREBRE brain biometric protocol. Pattern Recognit. Lett. 95: 37-43 (2017) - 2016
- [j2]Maria V. Ruiz-Blondet, Zhanpeng Jin, Sarah Laszlo:
CEREBRE: A Novel Method for Very High Accuracy Event-Related Potential Biometric Identification. IEEE Trans. Inf. Forensics Secur. 11(7): 1618-1629 (2016) - [c7]Qiong Gui, Wei Yang, Zhanpeng Jin, Maria V. Ruiz-Blondet, Sarah Laszlo:
A residual feature-based replay attack detection approach for brainprint biometric systems. WIFS 2016: 1-6 - 2015
- [j1]Blair C. Armstrong, Maria V. Ruiz-Blondet, Negin Khalifian, Kenneth J. Kurtz, Zhanpeng Jin, Sarah Laszlo:
Brainprint: Assessing the uniqueness, collectability, and permanence of a novel method for ERP biometrics. Neurocomputing 166: 59-67 (2015) - [c6]Qiong Gui, Zhanpeng Jin, Maria V. Ruiz-Blondet, Sarah Laszlo, Wenyao Xu:
Towards EEG biometrics: pattern matching approaches for user identification. ISBA 2015: 1-6 - [c5]Maria V. Ruiz-Blondet, Sarah Laszlo, Zhanpeng Jin:
Assessment of permanence of non-volitional EEG brainwaves as a biometric. ISBA 2015: 1-6 - 2014
- [c4]Blair C. Armstrong, Sarah Laszlo:
Putting emergence to the test: Modeling the effects of context in the time and frequency domain on the N400 Component. CogSci 2014 - [c3]Maria V. Ruiz-Blondet, Negin Khalifian, Blair C. Armstrong, Zhanpeng Jin, Kenneth J. Kurtz, Sarah Laszlo:
Brainprint: Identifying Unique Features of Neural Activity with Machine Learning. CogSci 2014 - 2013
- [c2]Sarah Laszlo, Blair C. Armstrong:
Applying the dynamics of post-synaptic potentials to individual units in simulation of temporally extended ERP reading data. CogSci 2013 - 2011
- [c1]Sarah Laszlo, David C. Plaut:
Simulating Event-Related Potential Reading Data in a Neurally Plausible Parallel Distributed Processing Model. CogSci 2011
Coauthor Index
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