Ankur Taly

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 39

Top Topics

Lessons Learned

Machine Learning

Top Venues

Publications

Krishnaram Kenthapadi, Mehrnoosh Sameki, Ankur Taly
Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey). KDD (2024)
Zilong Wang, Zifeng Wang, Long T. Le, Huaixiu Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting. CoRR (2024)
Andrew Bai, Chih-Kuan Yeh, Cho-Jui Hsieh, Ankur Taly
Which Pretrain Samples to Rehearse when Finetuning Pretrained Models? CoRR (2024)
Krishnaram Kenthapadi, Mehrnoosh Sameki, Ankur Taly
Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey). CoRR (2024)
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
Identifying and Mitigating the Security Risks of Generative AI. CoRR (2023)
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
Identifying and Mitigating the Security Risks of Generative AI. Found. Trends Priv. Secur. 6 (1) (2023)
Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister
Interpretable Mixture of Experts. Trans. Mach. Learn. Res. 2023 (2023)
Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister
Interpretable Mixture of Experts for Structured Data. CoRR (2022)
Chih-Kuan Yeh, Ankur Taly, Mukund Sundararajan, Frederick Liu, Pradeep Ravikumar
First is Better Than Last for Language Data Influence. NeurIPS (2022)
Chih-Kuan Yeh, Ankur Taly, Mukund Sundararajan, Frederick Liu, Pradeep Ravikumar
First is Better Than Last for Training Data Influence. CoRR (2022)
David S. Watson, Limor Gultchin, Ankur Taly, Luciano Floridi
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice. Minds Mach. 32 (1) (2022)
David S. Watson, Limor Gultchin, Ankur Taly, Luciano Floridi
Local explanations via necessity and sufficiency: unifying theory and practice. UAI (2021)
David S. Watson, Limor Gultchin, Ankur Taly, Luciano Floridi
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice. CoRR (2021)
Ana Lucic, Madhulika Srikumar, Umang Bhatt, Alice Xiang, Ankur Taly, Q. Vera Liao, Maarten de Rijke
A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms. CoRR (2021)
Luke Merrick, Ankur Taly
The Explanation Game: Explaining Machine Learning Models Using Shapley Values. CD-MAKE (2020)
Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly
Explainable AI in industry: practical challenges and lessons learned: implications tutorial. FAT* (2020)
Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley
Explainable machine learning in deployment. FAT* (2020)
Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly
Explainable AI in Industry: Practical Challenges and Lessons Learned. WWW (Companion Volume) (2020)
Mukund Sundararajan, Jinhua Xu, Ankur Taly, Rory Sayres, Amir Najmi
Exploring Principled Visualizations for Deep Network Attributions. IUI Workshops (2019)
Divya Gopinath, Hayes Converse, Corina S. Pasareanu, Ankur Taly
Property Inference for Deep Neural Networks. ASE (2019)
Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley
Explainable Machine Learning in Deployment. CoRR (2019)
Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly
Explainable AI in Industry. KDD (2019)
Luke Merrick, Ankur Taly
The Explanation Game: Explaining Machine Learning Models with Cooperative Game Theory. CoRR (2019)
Sahaj Garg, Vincent Perot, Nicole Limtiaco, Ankur Taly, Ed H. Chi, Alex Beutel
Counterfactual Fairness in Text Classification through Robustness. AIES (2019)
Divya Gopinath, Ankur Taly, Hayes Converse, Corina S. Pasareanu
Finding Invariants in Deep Neural Networks. CoRR (2019)
Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere
It was the training data pruning too! CoRR (2018)
Sahaj Garg, Vincent Perot, Nicole Limtiaco, Ankur Taly, Ed H. Chi, Alex Beutel
Counterfactual Fairness in Text Classification through Robustness. CoRR (2018)
Mukund Sundararajan, Ankur Taly
A Note about: Local Explanation Methods for Deep Neural Networks lack Sensitivity to Parameter Values. CoRR (2018)
Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere
Did the Model Understand the Question? CoRR (2018)
Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere
Did the Model Understand the Question? ACL (1) (2018)
Kevin McCloskey, Ankur Taly, Federico Monti, Michael P. Brenner, Lucy J. Colwell
Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry. CoRR (2018)
Kedar Dhamdhere, Kevin S. McCurley, Mukund Sundararajan, Ankur Taly
Abductive Matching in Question Answering. CoRR (2017)
Mukund Sundararajan, Ankur Taly, Qiqi Yan
Axiomatic Attribution for Deep Networks. ICML (2017)
Mukund Sundararajan, Ankur Taly, Qiqi Yan
Axiomatic Attribution for Deep Networks. CoRR (2017)
David J. Wu, Ankur Taly, Asim Shankar, Dan Boneh
Privacy, Discovery, and Authentication for the Internet of Things. CoRR (2016)
Ankur Taly, Asim Shankar
Distributed Authorization in Vanadium. CoRR (2016)
David J. Wu, Ankur Taly, Asim Shankar, Dan Boneh
Privacy, Discovery, and Authentication for the Internet of Things. ESORICS (2) (2016)
Ankur Taly, Asim Shankar
Distributed Authorization in Vanadium. FOSAD (2016)
Mukund Sundararajan, Ankur Taly, Qiqi Yan
Gradients of Counterfactuals. CoRR (2016)
Martín Abadi, Mike Burrows, Himabindu Pucha, Adam Sadovsky, Asim Shankar, Ankur Taly
Distributed Authorization with Distributed Grammars. Programming Languages with Applications to Biology and Security (2015)
Arnar Birgisson, Joe Gibbs Politz, Úlfar Erlingsson, Ankur Taly, Michael Vrable, Mark Lentczner
Macaroons: Cookies with Contextual Caveats for Decentralized Authorization in the Cloud. NDSS (2014)
Patrice Godefroid, Ankur Taly
Automated synthesis of symbolic instruction encodings from I/O samples. PLDI (2012)
Ankur Taly, Úlfar Erlingsson, John C. Mitchell, Mark S. Miller, Jasvir Nagra
Automated Analysis of Security-Critical JavaScript APIs. IEEE Symposium on Security and Privacy (2011)
Ankur Taly, Sumit Gulwani, Ashish Tiwari
Synthesizing switching logic using constraint solving. Int. J. Softw. Tools Technol. Transf. 13 (6) (2011)
Sergio Maffeis, John C. Mitchell, Ankur Taly
Object Capabilities and Isolation of Untrusted Web Applications. IEEE Symposium on Security and Privacy (2010)
Ankur Taly, Ashish Tiwari
Switching logic synthesis for reachability. EMSOFT (2010)
Ankur Taly, Sumit Gulwani, Ashish Tiwari
Synthesizing Switching Logic Using Constraint Solving. VMCAI (2009)
Ankur Taly, Ashish Tiwari
Deductive Verification of Continuous Dynamical Systems. FSTTCS (2009)
Sergio Maffeis, Ankur Taly
Language-Based Isolation of Untrusted JavaScript. CSF (2009)
Sergio Maffeis, John C. Mitchell, Ankur Taly
Isolating JavaScript with Filters, Rewriting, and Wrappers. ESORICS (2009)
Sergio Maffeis, John C. Mitchell, Ankur Taly
An Operational Semantics for JavaScript. APLAS (2008)
Stephane Gaubert, Eric Goubault, Ankur Taly, Sarah Zennou
Static Analysis by Policy Iteration on Relational Domains. ESOP (2007)