Ankur Taly

According to our database, Ankur Taly authored at least 40 papers between 2007 and 2024.

Collaborative distances:

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

2024

Which Pretrain Samples to Rehearse when Finetuning Pretrained Models?

Andrew Bai, Chih-Kuan Yeh, Cho-Jui Hsieh, Ankur Taly

CoRR, 2024

2023

Identifying and Mitigating the Security Risks of Generative AI.

Clark W. Barrett, Brad Boyd, Elie Bursztein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang

Found. Trends Priv. Secur., 2023

Identifying and Mitigating the Security Risks of Generative AI.

Clark W. Barrett, Brad Boyd, Ellie Burzstein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang

CoRR, 2023

2022

Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice.

David S. Watson, Limor Gultchin, Ankur Taly, Luciano Floridi

Minds Mach., 2022

Interpretable Mixture of Experts for Structured Data.

Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister

CoRR, 2022

First is Better Than Last for Training Data Influence.

Chih-Kuan Yeh, Ankur Taly, Mukund Sundararajan, Frederick Liu, Pradeep Ravikumar

CoRR, 2022

First is Better Than Last for Language Data Influence.

Chih-Kuan Yeh, Ankur Taly, Mukund Sundararajan, Frederick Liu, Pradeep Ravikumar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms.

Ana Lucic, Madhulika Srikumar, Umang Bhatt, Alice Xiang, Ankur Taly, Q. Vera Liao, Maarten de Rijke

CoRR, 2021

2020

Explainable AI in Industry: Practical Challenges and Lessons Learned.

Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Explainable AI in industry: practical challenges and lessons learned: implications tutorial.

Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly

Proceedings of the FAT* '20: Conference on Fairness, 2020

Explainable machine learning in deployment.

Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley

Proceedings of the FAT* '20: Conference on Fairness, 2020

The Explanation Game: Explaining Machine Learning Models Using Shapley Values.

Luke Merrick, Ankur Taly

Proceedings of the Machine Learning and Knowledge Extraction, 2020

2019

The Explanation Game: Explaining Machine Learning Models with Cooperative Game Theory.

Luke Merrick, Ankur Taly

CoRR, 2019

Finding Invariants in Deep Neural Networks.

Divya Gopinath, Ankur Taly, Hayes Converse, Corina S. Pasareanu

CoRR, 2019

Explainable AI in Industry.

Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Property Inference for Deep Neural Networks.

Divya Gopinath, Hayes Converse, Corina S. Pasareanu, Ankur Taly

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Exploring Principled Visualizations for Deep Network Attributions.

Mukund Sundararajan, Jinhua Xu, Ankur Taly, Rory Sayres, Amir Najmi

Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019

Counterfactual Fairness in Text Classification through Robustness.

Sahaj Garg, Vincent Perot, Nicole Limtiaco, Ankur Taly, Ed H. Chi, Alex Beutel

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry.

Kevin McCloskey, Ankur Taly, Federico Monti, Michael P. Brenner, Lucy J. Colwell

CoRR, 2018

A Note about: Local Explanation Methods for Deep Neural Networks lack Sensitivity to Parameter Values.

Mukund Sundararajan, Ankur Taly

CoRR, 2018

It was the training data pruning too!

Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere

CoRR, 2018

Did the Model Understand the Question?

Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Abductive Matching in Question Answering.

Kedar Dhamdhere, Kevin S. McCurley, Mukund Sundararajan, Ankur Taly

CoRR, 2017

Axiomatic Attribution for Deep Networks.

Mukund Sundararajan, Ankur Taly, Qiqi Yan

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Gradients of Counterfactuals.

Mukund Sundararajan, Ankur Taly, Qiqi Yan

CoRR, 2016

Distributed Authorization in Vanadium.

Ankur Taly, Asim Shankar

Proceedings of the Foundations of Security Analysis and Design VIII, 2016

Privacy, Discovery, and Authentication for the Internet of Things.

David J. Wu, Ankur Taly, Asim Shankar, Dan Boneh

Proceedings of the Computer Security - ESORICS 2016, 2016

2015

Distributed Authorization with Distributed Grammars.

Martín Abadi, Mike Burrows, Himabindu Pucha, Adam Sadovsky, Asim Shankar, Ankur Taly

Proceedings of the Programming Languages with Applications to Biology and Security, 2015

2014

Macaroons: Cookies with Contextual Caveats for Decentralized Authorization in the Cloud.

Arnar Birgisson, Joe Gibbs Politz, Úlfar Erlingsson, Ankur Taly, Michael Vrable, Mark Lentczner

Proceedings of the 21st Annual Network and Distributed System Security Symposium, 2014

2013

Sandboxing untrusted JavaScript.

Ankur Taly

PhD thesis, 2013

2012

Automated synthesis of symbolic instruction encodings from I/O samples.

Patrice Godefroid, Ankur Taly

Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2012

2011

Synthesizing switching logic using constraint solving.

Ankur Taly, Sumit Gulwani, Ashish Tiwari

Int. J. Softw. Tools Technol. Transf., 2011

Automated Analysis of Security-Critical JavaScript APIs.

Ankur Taly, Úlfar Erlingsson, John C. Mitchell, Mark S. Miller, Jasvir Nagra

Proceedings of the 32nd IEEE Symposium on Security and Privacy, 2011

2010

Object Capabilities and Isolation of Untrusted Web Applications.

Sergio Maffeis, John C. Mitchell, Ankur Taly

Proceedings of the 31st IEEE Symposium on Security and Privacy, 2010

Switching logic synthesis for reachability.

Ankur Taly, Ashish Tiwari

Proceedings of the 10th International conference on Embedded software, 2010

2009

Deductive Verification of Continuous Dynamical Systems.

Ankur Taly, Ashish Tiwari

Proceedings of the IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, 2009

Isolating JavaScript with Filters, Rewriting, and Wrappers.

Sergio Maffeis, John C. Mitchell, Ankur Taly

Proceedings of the Computer Security, 2009

Language-Based Isolation of Untrusted JavaScript.

Sergio Maffeis, Ankur Taly

Proceedings of the 22nd IEEE Computer Security Foundations Symposium, 2009

2008

An Operational Semantics for JavaScript.

Sergio Maffeis, John C. Mitchell, Ankur Taly

Proceedings of the Programming Languages and Systems, 6th Asian Symposium, 2008

2007

Static Analysis by Policy Iteration on Relational Domains.

Stephane Gaubert, Eric Goubault, Ankur Taly, Sarah Zennou

Proceedings of the Programming Languages and Systems, 2007