Shayak Sen

According to our database, Shayak Sen authored at least 18 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2021

Influence-directed Explanations for Machine Learning.

Shayak Sen

PhD thesis, 2021

Exploring Conceptual Soundness with TruLens.

Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Ricardo Shih, Zifan Wang

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Machine Learning Explainability and Robustness: Connected at the Hip.

Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

SoK: Differential Privacy as a Causal Property.

Michael Carl Tschantz, Shayak Sen, Anupam Datta

Proceedings of the 2020 IEEE Symposium on Security and Privacy, 2020

2019

Feature-Wise Bias Amplification.

Klas Leino, Emily Black, Matt Fredrikson, Shayak Sen, Anupam Datta

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together.

Anupam Datta, Shayak Sen, Michael Carl Tschantz

CoRR, 2018

Supervising Feature Influence.

Shayak Sen, Piotr Mardziel, Anupam Datta, Matthew Fredrikson

CoRR, 2018

Influence-Directed Explanations for Deep Convolutional Networks.

Klas Leino, Shayak Sen, Anupam Datta, Matt Fredrikson, Linyi Li

Proceedings of the IEEE International Test Conference, 2018

2017

Latent Factor Interpretations for Collaborative Filtering.

Anupam Datta, Sophia Kovaleva, Piotr Mardziel, Shayak Sen

CoRR, 2017

Differential Privacy as a Causal Property.

Michael Carl Tschantz, Shayak Sen, Anupam Datta

CoRR, 2017

Proxy Non-Discrimination in Data-Driven Systems.

Anupam Datta, Matt Fredrikson, Gihyuk Ko, Piotr Mardziel, Shayak Sen

CoRR, 2017

Use Privacy in Data-Driven Systems: Theory and Experiments with Machine Learnt Programs.

Anupam Datta, Matthew Fredrikson, Gihyuk Ko, Piotr Mardziel, Shayak Sen

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

2016

Debugging Machine Learning Tasks.

Aleksandar Chakarov, Aditya V. Nori, Sriram K. Rajamani, Shayak Sen, Deepak Vijaykeerthy

CoRR, 2016

Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems.

Anupam Datta, Shayak Sen, Yair Zick

Proceedings of the IEEE Symposium on Security and Privacy, 2016

2015

System M: A Program Logic for Code Sandboxing and Identification.

Limin Jia, Shayak Sen, Deepak Garg, Anupam Datta

CoRR, 2015

A Symbolic Logic with Concrete Bounds for Cryptographic Protocols.

Anupam Datta, Joseph Y. Halpern, John C. Mitchell, Arnab Roy, Shayak Sen

CoRR, 2015

A Logic of Programs with Interface-Confined Code.

Limin Jia, Shayak Sen, Deepak Garg, Anupam Datta

Proceedings of the IEEE 28th Computer Security Foundations Symposium, 2015

2014

Bootstrapping Privacy Compliance in Big Data Systems.

Shayak Sen, Saikat Guha, Anupam Datta, Sriram K. Rajamani, Janice Y. Tsai, Jeannette M. Wing

Proceedings of the 2014 IEEE Symposium on Security and Privacy, 2014