Shreya Shankar
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Adversarial examples that fool both computer vision and time-limited humans
G Elsayed, S Shankar, B Cheung, N Papernot, A Kurakin, I Goodfellow, ...
Advances in neural information processing systems 31, 2018
No classification without representation: Assessing geodiversity issues in open data sets for the developing world
S Shankar, Y Halpern, E Breck, J Atwood, J Wilson, D Sculley
arXiv preprint arXiv:1711.08536, 2017
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming
S Dathathri, K Dvijotham, A Kurakin, A Raghunathan, J Uesato, RR Bunel, ...
Advances in Neural Information Processing Systems 33, 5318-5331, 2020
Operationalizing machine learning: An interview study
S Shankar, R Garcia, JM Hellerstein, AG Parameswaran
arXiv preprint arXiv:2209.09125, 2022
Towards Observability for Production Machine Learning Pipelines
S Shankar, A Parameswaran
arXiv preprint arXiv:2108.13557, 2021
Revisiting prompt engineering via declarative crowdsourcing
AG Parameswaran, S Shankar, P Asawa, N Jain, Y Wang
arXiv preprint arXiv:2308.03854, 2023
Bolt-on, compact, and rapid program slicing for notebooks
S Shankar, S Macke, S Chasins, A Head, A Parameswaran
Proceedings of the VLDB Endowment 15 (13), 4038-4047, 2022
Rethinking streaming machine learning evaluation
S Shankar, B Herman, AG Parameswaran
arXiv preprint arXiv:2205.11473, 2022
Subtle adversarial image manipulations influence both human and machine perception
V Veerabadran, J Goldman, S Shankar, B Cheung, N Papernot, A Kurakin, ...
Nature Communications 14 (1), 4933, 2023
Automatic and precise data validation for machine learning
S Shankar, L Fawaz, K Gyllstrom, A Parameswaran
Proceedings of the 32nd ACM International Conference on Information and …, 2023
Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences
S Shankar, JD Zamfirescu-Pereira, B Hartmann, AG Parameswaran, ...
arXiv preprint arXiv:2404.12272, 2024
Adversarial examples influence human visual perception
GF Elsayed, S Shankar, B Cheung, N Papernot, A Kurakin, I Goodfellow, ...
Journal of Vision 19 (10), 190c-190c, 2019
Spade: Synthesizing assertions for large language model pipelines
S Shankar, H Li, P Asawa, M Hulsebos, Y Lin, JD Zamfirescu-Pereira, ...
arXiv preprint arXiv:2401.03038, 2024
Towards Accurate and Efficient Document Analytics with Large Language Models
Y Lin, M Hulsebos, R Ma, S Shankar, S Zeigham, AG Parameswaran, ...
arXiv preprint arXiv:2405.04674, 2024
It Took Longer than I was Expecting: Why is Dataset Search Still so Hard?
M Hulsebos, W Lin, S Shankar, A Parameswaran
Proceedings of the 2024 Workshop on Human-In-the-Loop Data Analytics, 1-4, 2024
Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM)
M Boehm, M Hulsebos, S Shankar, P Varma
Companion of the 2023 International Conference on Management of Data, 305-306, 2023
Berkeley Databases Prelim Notes
S Shankar
Predictive Modeling: A Retrospective
S Shankar
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