Shayak Sen

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 16

Top Topics

Differential Privacy

Locally Decodable Codes

Visual Basic Database

Top Venues

IEEE Symposium on Security and Privacy

Publications

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