Adversarial Examples that Fool both Computer Vision and Time-Limited Humans. - Gamaleldin F. Elsayed; Shreya Shankar; Brian Cheung; Nicolas Papernot; Alexey Kurakin; Ian J. Goodfellow; Jascha Sohl-Dickstein (NeurIPS, 2018)

Adversarial Examples that Fool both Human and Computer Vision. - Gamaleldin F. Elsayed; Shreya Shankar; Brian Cheung; Nicolas Papernot; Alex Kurakin; Ian J. Goodfellow; Jascha Sohl-Dickstein (CoRR, 2018)

Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming. - Sumanth Dathathri; Krishnamurthy Dvijotham; Alexey Kurakin; Aditi Raghunathan; Jonathan Uesato; Rudy Bunel; Shreya Shankar; Jacob Steinhardt; Ian J. Goodfellow; Percy Liang; Pushmeet Kohli (NeurIPS, 2020)

Optimal Transfer Learning Model for Binary Classification of Funduscopic Images through Simple Heuristics. - Rohit Jammula; Vishnu Rajan Tejus; Shreya Shankar (CoRR, 2020)

Towards Observability for Machine Learning Pipelines. - Shreya Shankar; Aditya G. Parameswaran (CIDR, 2022)

Rethinking Streaming Machine Learning Evaluation. - Shreya Shankar; Bernease Herman; Aditya G. Parameswaran (CoRR, 2022)

Operationalizing Machine Learning: An Interview Study. - Shreya Shankar; Rolando Garcia; Joseph M. Hellerstein; Aditya G. Parameswaran (CoRR, 2022)

Bolt-on, Compact, and Rapid Program Slicing for Notebooks [Scalable Data Science]. - Shreya Shankar; Stephen Macke; Sarah E. Chasins; Andrew Head; Aditya G. Parameswaran (Proc. VLDB Endow., 2022)

Towards Observability for Production Machine Learning Pipelines [Vision]. - Shreya Shankar; Aditya G. Parameswaran (Proc. VLDB Endow., 2022)

Automatic and Precise Data Validation for Machine Learning. - Shreya Shankar; Labib Fawaz; Karl Gyllstrom; Aditya G. Parameswaran (CIKM, 2023)

Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM). - Matthias Boehm 001; Madelon Hulsebos; Shreya Shankar; Paroma Varma (SIGMOD Conference Companion, 2023)

Moving Fast With Broken Data. - Shreya Shankar; Labib Fawaz; Karl Gyllstrom; Aditya G. Parameswaran (CoRR, 2023)

Revisiting Prompt Engineering via Declarative Crowdsourcing. - Aditya G. Parameswaran; Shreya Shankar; Parth Asawa; Naman Jain; Yujie Wang (CIDR, 2024)

It Took Longer than I was Expecting: Why is Dataset Search Still so Hard? - Madelon Hulsebos; Wenjing Lin; Shreya Shankar; Aditya G. Parameswaran (HILDA@SIGMOD, 2024)

Eighth Workshop on Data Management for End-to-End Machine Learning (DEEM). - Madelon Hulsebos; Matteo Interlandi; Shreya Shankar (SIGMOD Conference Companion, 2024)

Building Reactive Large Language Model Pipelines with Motion. - Shreya Shankar; Aditya G. Parameswaran (SIGMOD Conference Companion, 2024)

Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences. - Shreya Shankar; J. D. Zamfirescu-Pereira; Bjoern Hartmann; Aditya G. Parameswaran; Ian Arawjo (UIST, 2024)

SPADE: Synthesizing Assertions for Large Language Model Pipelines. - Shreya Shankar; Haotian Li 001; Parth Asawa; Madelon Hulsebos; Yiming Lin; J. D. Zamfirescu-Pereira; Harrison Chase; Will Fu-Hinthorn; Aditya G. Parameswaran; Eugene Wu 002 (CoRR, 2024)

Towards Accurate and Efficient Document Analytics with Large Language Models. - Yiming Lin; Madelon Hulsebos; Ruiying Ma; Shreya Shankar; Sepanta Zeighami; Aditya G. Parameswaran; Eugene Wu 002 (CoRR, 2024)

DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing. - Shreya Shankar; Aditya G. Parameswaran; Eugene Wu 002 (CoRR, 2024)

"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning. - Shreya Shankar; Rolando Garcia; Joseph M. Hellerstein; Aditya G. Parameswaran (Proc. ACM Hum. Comput. Interact., 2024)

SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines. - Shreya Shankar; Haotian Li 001; Parth Asawa; Madelon Hulsebos; Yiming Lin; J. D. Zamfirscu-Pereira; Harrison Chase; Will Fu-Hinthorn; Aditya G. Parameswaran; Eugene Wu 002 (Proc. VLDB Endow., 2024)

Querying Templatized Document Collections with Large Language Models. - Yiming Lin; Madelon Hulsebos; Ruiying Ma; Shreya Shankar; Sepanta Zeighami; Aditya G. Parameswaran; Eugene Wu 002 (ICDE, 2025)

PROMPTEVALS: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines. - Reya Vir; Shreya Shankar; Harrison Chase; Will Fu-Hinthorn; Aditya G. Parameswaran (NAACL (Long Papers), 2025)

Ninth Workshop on Data Management for End-to-End Machine Learning (DEEM). - Stefan Grafberger; Madelon Hulsebos; Matteo Interlandi; Shreya Shankar (SIGMOD Conference Companion, 2025)

LLM-Powered Proactive Data Systems. - Sepanta Zeighami; Yiming Lin; Shreya Shankar; Aditya G. Parameswaran (IEEE Data Eng. Bull., 2025)

RAG Without the Lag: Interactive Debugging for Retrieval-Augmented Generation Pipelines. - Quentin Romero Lauro; Shreya Shankar; Sepanta Zeighami; Aditya G. Parameswaran (CoRR, 2025)

Steering Semantic Data Processing With DocWrangler. - Shreya Shankar; Bhavya Chopra; Mawil Hasan; Stephen Lee; Björn Hartmann; Joseph M. Hellerstein; Aditya G. Parameswaran; Eugene Wu 002 (CoRR, 2025)

Rethinking Dataset Discovery with DataScout. - Rachel Lin; Bhavya Chopra; Wenjing Lin; Shreya Shankar; Madelon Hulsebos; Aditya G. Parameswaran (CoRR, 2025)