Ankur Taly

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Axiomatic Attribution for Deep Networks pdf

Ankur Taly, Mukund Sundararajan, Qiqi Yan, 2017, ICML.

Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy.

G. Corrado, L. Peng, D. Webster, 2019, Ophthalmology.

Assisted reads for diabetic retinopathy using a deep learning algorithm and integrated gradient explanation

Ankur Taly, Jonathan Krause, Arunachalam Narayanaswamy, 2018 .

Automated Analysis of Security-Critical JavaScript APIs

Úlfar Erlingsson, Ankur Taly, John C. Mitchell, 2011, 2011 IEEE Symposium on Security and Privacy.

cs . L G ] 1 2 M ar 2 01 8 It was the training data pruning too !

Pramod Kaushik Mudrakarta, Mukund Sundararajan, Ankur Taly, 2018 .

Ju l 2 01 6 Privacy , Discovery , and Authentication for the Internet of Things ( Extended Version )

D. Boneh, Ankur Taly, David Wu, 2016 .

Private Service Discovery and Mutual Authentication for the Internet of Things

Ankur Taly, Dan Boneh, Asim Shankar, 2016 .

Distributed Authorization with Distributed Grammars

Martín Abadi, Ankur Taly, Himabindu Pucha, 2015, Programming Languages with Applications to Biology and Security.

Separation Logic and the Mashup Isolation Problem

Ankur Taly, 2010 .

First is Better Than Last for Training Data Influence

Pradeep Ravikumar, Frederick Liu, Mukund Sundararajan, 2022, ArXiv.

Approximate Symbolic Reachability of Networks of Transition Systems

Ankur Taly, Varun Kanade, Supratik Chakraborty, 2007 .

First is Better Than Last for Language Data Influence

Pradeep Ravikumar, Frederick Liu, Mukund Sundararajan, 2022, NeurIPS.

Interpretable Mixture of Experts for Structured Data

Sercan Ö. Arik, Aya Abdelsalam Ismail, Tomas Pfister, 2022, ArXiv.

Exploring Principled Visualizations for Deep Network Attributions

Ankur Taly, Jinhua Xu, Mukund Sundararajan, 2019, IUI Workshops.

Explainable machine learning in deployment

Ankur Taly, Joydeep Ghosh, Yunhan Jia, 2019, FAT*.

Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice

L. Floridi, Ankur Taly, David Watson, 2021, Minds and Machines.

Using attribution to decode binding mechanism in neural network models for chemistry

Ankur Taly, Lucy J. Colwell, Michael P. Brenner, 2018, Proceedings of the National Academy of Sciences.

First is Better Than Last for Training Data Influence

Pradeep Ravikumar, Frederick Liu, Mukund Sundararajan, 2022, ArXiv.

Counterfactual Fairness in Text Classification through Robustness

Ankur Taly, Ed H. Chi, Ed Huai-hsin Chi, 2018, AIES.

Explainable AI in Industry

Ankur Taly, Sahin Cem Geyik, Krishnaram Kenthapadi, 2019, KDD.

Property Inference for Deep Neural Networks

C. Pasareanu, D. Gopinath, Ankur Taly, 2019, 2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE).

Automated synthesis of symbolic instruction encodings from I/O samples

Ankur Taly, Patrice Godefroid, Patrice Godefroid, 2012, PLDI.

Did the Model Understand the Question? pdf

Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere, 2018, ACL.

Gradients of Counterfactuals pdf

Ankur Taly, Mukund Sundararajan, Qiqi Yan, 2016, ArXiv.

The Explanation Game: Explaining Machine Learning Models Using Shapley Values

Ankur Taly, Luke Merrick, Ankur Taly, 2020, CD-MAKE.

Object Capabilities and Isolation of Untrusted Web Applications

Ankur Taly, John C. Mitchell, Sergio Maffeis, 2010, 2010 IEEE Symposium on Security and Privacy.

Language-Based Isolation of Untrusted JavaScript

Ankur Taly, Sergio Maffeis, Ankur Taly, 2009, 2009 22nd IEEE Computer Security Foundations Symposium.

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

Ankur Taly, Luke Merrick, Ankur Taly, 2019, ArXiv.

Explainable AI in Industry: Practical Challenges and Lessons Learned

Ankur Taly, Sahin Cem Geyik, Krishnaram Kenthapadi, 2020, WWW.

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

Ankur Taly, Mukund Sundararajan, Mukund Sundararajan, 2018, ArXiv.

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

Arnar Birgisson, Joe Gibbs Politz, Úlfar Erlingsson, 2014, NDSS.

Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice

L. Floridi, Ankur Taly, David Watson, 2022, Minds and Machines.

Privacy, Discovery, and Authentication for the Internet of Things

Ankur Taly, Dan Boneh, David J. Wu, 2016, ESORICS.

Finding Invariants in Deep Neural Networks pdf

Ankur Taly, Corina S. Pasareanu, Hayes Converse, 2019, ArXiv.

Identifying and Mitigating the Security Risks of Generative AI

Nicholas Carlini, D. Song, Daniel Kang, 2023, ArXiv.

Abductive Matching in Question Answering pdf

Ankur Taly, Mukund Sundararajan, Kevin S. McCurley, 2017, ArXiv.

Identifying and Mitigating the Security Risks of Generative AI

Nicholas Carlini, D. Song, Daniel Kang, 2023, Found. Trends Priv. Secur..

Interpretable Mixture of Experts

Sercan Ö. Arik, Aya Abdelsalam Ismail, Tomas Pfister, 2022, Trans. Mach. Learn. Res..

An Operational Semantics for JavaScript

Ankur Taly, John C. Mitchell, Sergio Maffeis, 2008, APLAS.

Using attribution to decode binding mechanism in neural network models for chemistry

Lucy J. Colwell, M. Brenner, Federico Monti, 2018, Proceedings of the National Academy of Sciences.