Shayak Sen

22 papers A* 5A 2Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
What Is Your Agent's GPA? A Framework for Evaluating Agent Goal-Plan-Action Alignment.
CoRR
Allison Sihan Jia, Daniel Huang, Nikhil Vytla, Nirvika Choudhury, Shayak Sen, John C. Mitchell, Anupam Datta
2021 — conf
Exploring Conceptual Soundness with TruLens.
NeurIPS (Competition and Demos)
Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Ricardo Shih, Zifan Wang
2021 — —
Influence-directed Explanations for Machine Learning.
Shayak Sen
2021 A* conf
Machine Learning Explainability and Robustness: Connected at the Hip.
KDD
Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang
2020 A* conf
SoK: Differential Privacy as a Causal Property.
SP
Michael Carl Tschantz, Shayak Sen, Anupam Datta
2019 — conf
Feature-Wise Bias Amplification.
ICLR (Poster)
Klas Leino, Emily Black, Matt Fredrikson, Shayak Sen, Anupam Datta
2018 J jnl
Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together.
CoRR
Anupam Datta, Shayak Sen, Michael Carl Tschantz
2018 J jnl
Feature-Wise Bias Amplification.
CoRR
Klas Leino, Matt Fredrikson, Emily Black, Shayak Sen, Anupam Datta
2018 A conf
Influence-Directed Explanations for Deep Convolutional Networks.
ITC
Klas Leino, Shayak Sen, Anupam Datta, Matt Fredrikson, Linyi Li
2018 J jnl
Influence-Directed Explanations for Deep Convolutional Networks.
CoRR
Klas Leino, Linyi Li, Shayak Sen, Anupam Datta, Matt Fredrikson
2018 J jnl
Supervising Feature Influence.
CoRR
Shayak Sen, Piotr Mardziel, Anupam Datta, Matthew Fredrikson
2017 J jnl
Differential Privacy as a Causal Property.
CoRR
Michael Carl Tschantz, Shayak Sen, Anupam Datta
2017 J jnl
Latent Factor Interpretations for Collaborative Filtering.
CoRR
Anupam Datta, Sophia Kovaleva, Piotr Mardziel, Shayak Sen
2017 J jnl
Proxy Non-Discrimination in Data-Driven Systems.
CoRR
Anupam Datta, Matt Fredrikson, Gihyuk Ko, Piotr Mardziel, Shayak Sen
2017 A* conf
Use Privacy in Data-Driven Systems: Theory and Experiments with Machine Learnt Programs.
CCS
Anupam Datta, Matthew Fredrikson, Gihyuk Ko, Piotr Mardziel, Shayak Sen
2017 J jnl
Use Privacy in Data-Driven Systems: Theory and Experiments with Machine Learnt Programs.
CoRR
Anupam Datta, Matthew Fredrikson, Gihyuk Ko, Piotr Mardziel, Shayak Sen
2016 A* conf
Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems.
IEEE Symposium on Security and Privacy
Anupam Datta, Shayak Sen, Yair Zick
2016 J jnl
Debugging Machine Learning Tasks.
CoRR
Aleksandar Chakarov, Aditya V. Nori, Sriram K. Rajamani, Shayak Sen, Deepak Vijaykeerthy
2015 A conf
A Logic of Programs with Interface-Confined Code.
CSF
Limin Jia, Shayak Sen, Deepak Garg, Anupam Datta
2015 J jnl
A Symbolic Logic with Concrete Bounds for Cryptographic Protocols.
CoRR
Anupam Datta, Joseph Y. Halpern, John C. Mitchell, Arnab Roy, Shayak Sen
2015 J jnl
System M: A Program Logic for Code Sandboxing and Identification.
CoRR
Limin Jia, Shayak Sen, Deepak Garg, Anupam Datta
2014 A* conf
Bootstrapping Privacy Compliance in Big Data Systems.
IEEE Symposium on Security and Privacy
Shayak Sen, Saikat Guha, Anupam Datta, Sriram K. Rajamani, Janice Y. Tsai, Jeannette M. Wing