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ORCIDShayak Sen
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2020 – today
- 2021
[b1]Shayak Sen:
Influence-directed Explanations for Machine Learning. Carnegie Mellon University, USA, 2021- [c9]Anupam Datta, Matt Fredrikson
, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang:
Machine Learning Explainability and Robustness: Connected at the Hip. KDD 2021: 4035-4036 - [c8]Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Ricardo Shih, Zifan Wang:
Exploring Conceptual Soundness with TruLens. NeurIPS (Competition and Demos) 2021: 302-307 - 2020
- [c7]Michael Carl Tschantz, Shayak Sen, Anupam Datta:
SoK: Differential Privacy as a Causal Property. SP 2020: 354-371
2010 – 2019
- 2019
- [c6]Klas Leino, Emily Black, Matt Fredrikson, Shayak Sen, Anupam Datta:
Feature-Wise Bias Amplification. ICLR (Poster) 2019 - 2018
- [c5]Klas Leino, Shayak Sen, Anupam Datta, Matt Fredrikson, Linyi Li:
Influence-Directed Explanations for Deep Convolutional Networks. ITC 2018: 1-8 - [i11]Klas Leino, Linyi Li, Shayak Sen, Anupam Datta, Matt Fredrikson:
Influence-Directed Explanations for Deep Convolutional Networks. CoRR abs/1802.03788 (2018) - [i10]Shayak Sen, Piotr Mardziel, Anupam Datta, Matthew Fredrikson:
Supervising Feature Influence. CoRR abs/1803.10815 (2018) - [i9]Anupam Datta, Shayak Sen, Michael Carl Tschantz:
Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together. CoRR abs/1808.01735 (2018) - [i8]Klas Leino, Matt Fredrikson, Emily Black, Shayak Sen, Anupam Datta:
Feature-Wise Bias Amplification. CoRR abs/1812.08999 (2018) - 2017
- [c4]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: 1193-1210 - [i7]Anupam Datta, Matthew Fredrikson, Gihyuk Ko, Piotr Mardziel, Shayak Sen:
Use Privacy in Data-Driven Systems: Theory and Experiments with Machine Learnt Programs. CoRR abs/1705.07807 (2017) - [i6]Anupam Datta, Matt Fredrikson, Gihyuk Ko, Piotr Mardziel, Shayak Sen:
Proxy Non-Discrimination in Data-Driven Systems. CoRR abs/1707.08120 (2017) - [i5]Michael Carl Tschantz, Shayak Sen, Anupam Datta:
Differential Privacy as a Causal Property. CoRR abs/1710.05899 (2017) - [i4]Anupam Datta, Sophia Kovaleva, Piotr Mardziel, Shayak Sen:
Latent Factor Interpretations for Collaborative Filtering. CoRR abs/1711.10816 (2017) - 2016
- [c3]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: 598-617 - [i3]Aleksandar Chakarov, Aditya V. Nori, Sriram K. Rajamani, Shayak Sen, Deepak Vijaykeerthy:
Debugging Machine Learning Tasks. CoRR abs/1603.07292 (2016) - 2015
- [c2]Limin Jia, Shayak Sen, Deepak Garg, Anupam Datta:
A Logic of Programs with Interface-Confined Code. CSF 2015: 512-525 - [i2]Limin Jia, Shayak Sen, Deepak Garg, Anupam Datta:
System M: A Program Logic for Code Sandboxing and Identification. CoRR abs/1501.05673 (2015) - [i1]Anupam Datta, Joseph Y. Halpern, John C. Mitchell, Arnab Roy, Shayak Sen:
A Symbolic Logic with Concrete Bounds for Cryptographic Protocols. CoRR abs/1511.07536 (2015) - 2014
- [c1]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: 327-342
Coauthor Index
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