Ankur Taly

57 papers A* 11A 4B 2C 2Misc 1Journal 26Unranked 10
YearRankTypeTitle / Venue / Authors
2025 — conf
An Efficient Rehearsal Scheme for Catastrophic Forgetting Mitigation during Multi-stage Fine-tuning.
NAACL (Findings)
Andrew Bai, Chih-Kuan Yeh, Cho-Jui Hsieh, Ankur Taly
2025 A* conf
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting.
ICLR
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
2025 A* conf
Sufficient Context: A New Lens on Retrieval Augmented Generation Systems.
ICLR
Hailey Joren, Jianyi Zhang, Chun-Sung Ferng, Da-Cheng Juan, Ankur Taly, Cyrus Rashtchian
2024 A* conf
Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey).
KDD
Krishnaram Kenthapadi, Mehrnoosh Sameki, Ankur Taly
2024 J jnl
Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey).
CoRR
Krishnaram Kenthapadi, Mehrnoosh Sameki, Ankur Taly
2024 J jnl
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting.
CoRR
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
2024 J jnl
Sufficient Context: A New Lens on Retrieval Augmented Generation Systems.
CoRR
Hailey Joren, Jianyi Zhang, Chun-Sung Ferng, Da-Cheng Juan, Ankur Taly, Cyrus Rashtchian
2024 J jnl
Which Pretrain Samples to Rehearse when Finetuning Pretrained Models?
CoRR
Andrew Bai, Chih-Kuan Yeh, Cho-Jui Hsieh, Ankur Taly
2023 J jnl
Identifying and Mitigating the Security Risks of Generative AI.
CoRR
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
2023 J jnl
Identifying and Mitigating the Security Risks of Generative AI.
Found. Trends Priv. Secur.
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
2023 J jnl
Interpretable Mixture of Experts.
Trans. Mach. Learn. Res.
Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister
2022 A* conf
First is Better Than Last for Language Data Influence.
NeurIPS
Chih-Kuan Yeh, Ankur Taly, Mukund Sundararajan, Frederick Liu, Pradeep Ravikumar
2022 J jnl
First is Better Than Last for Training Data Influence.
CoRR
Chih-Kuan Yeh, Ankur Taly, Mukund Sundararajan, Frederick Liu, Pradeep Ravikumar
2022 J jnl
Interpretable Mixture of Experts for Structured Data.
CoRR
Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister
2022 J jnl
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice.
Minds Mach.
David S. Watson, Limor Gultchin, Ankur Taly, Luciano Floridi
2021 J jnl
A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms.
CoRR
Ana Lucic, Madhulika Srikumar, Umang Bhatt, Alice Xiang, Ankur Taly, Q. Vera Liao, Maarten de Rijke
2021 J jnl
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice.
CoRR
David S. Watson, Limor Gultchin, Ankur Taly, Luciano Floridi
2021 A conf
Local explanations via necessity and sufficiency: unifying theory and practice.
UAI
David S. Watson, Limor Gultchin, Ankur Taly, Luciano Floridi
2020 — conf
Explainable AI in Industry: Practical Challenges and Lessons Learned.
WWW (Companion Volume)
Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly
2020 — conf
Explainable AI in industry: practical challenges and lessons learned: implications tutorial.
FAT*
Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly
2020 — conf
Explainable machine learning in deployment.
FAT*
Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley
2020 C conf
The Explanation Game: Explaining Machine Learning Models Using Shapley Values.
CD-MAKE
Luke Merrick, Ankur Taly
2019 C conf
Counterfactual Fairness in Text Classification through Robustness.
AIES
Sahaj Garg, Vincent Perot, Nicole Limtiaco, Ankur Taly, Ed H. Chi, Alex Beutel
2019 A* conf
Explainable AI in Industry.
KDD
Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly
2019 J jnl
Explainable Machine Learning in Deployment.
CoRR
Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley
2019 — conf
Exploring Principled Visualizations for Deep Network Attributions.
IUI Workshops
Mukund Sundararajan, Jinhua Xu, Ankur Taly, Rory Sayres, Amir Najmi
2019 J jnl
Finding Invariants in Deep Neural Networks.
CoRR
Divya Gopinath, Ankur Taly, Hayes Converse, Corina S. Pasareanu
2019 A* conf
Property Inference for Deep Neural Networks.
ASE
Divya Gopinath, Hayes Converse, Corina S. Pasareanu, Ankur Taly
2019 J jnl
The Explanation Game: Explaining Machine Learning Models with Cooperative Game Theory.
CoRR
Luke Merrick, Ankur Taly
2018 J jnl
A Note about: Local Explanation Methods for Deep Neural Networks lack Sensitivity to Parameter Values.
CoRR
Mukund Sundararajan, Ankur Taly
2018 J jnl
Counterfactual Fairness in Text Classification through Robustness.
CoRR
Sahaj Garg, Vincent Perot, Nicole Limtiaco, Ankur Taly, Ed H. Chi, Alex Beutel
2018 — conf
Did the Model Understand the Question?
ACL (1)
Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere
2018 J jnl
Did the Model Understand the Question?
CoRR
Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere
2018 J jnl
It was the training data pruning too!
CoRR
Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere
2018 J jnl
Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry.
CoRR
Kevin McCloskey, Ankur Taly, Federico Monti, Michael P. Brenner, Lucy J. Colwell
2017 J jnl
Abductive Matching in Question Answering.
CoRR
Kedar Dhamdhere, Kevin S. McCurley, Mukund Sundararajan, Ankur Taly
2017 A* conf
Axiomatic Attribution for Deep Networks.
ICML
Mukund Sundararajan, Ankur Taly, Qiqi Yan
2017 J jnl
Axiomatic Attribution for Deep Networks.
CoRR
Mukund Sundararajan, Ankur Taly, Qiqi Yan
2016 — conf
Distributed Authorization in Vanadium.
FOSAD
Ankur Taly, Asim Shankar
2016 J jnl
Distributed Authorization in Vanadium.
CoRR
Ankur Taly, Asim Shankar
2016 J jnl
Gradients of Counterfactuals.
CoRR
Mukund Sundararajan, Ankur Taly, Qiqi Yan
2016 — conf
Privacy, Discovery, and Authentication for the Internet of Things.
ESORICS (2)
David J. Wu, Ankur Taly, Asim Shankar, Dan Boneh
2016 J jnl
Privacy, Discovery, and Authentication for the Internet of Things.
CoRR
David J. Wu, Ankur Taly, Asim Shankar, Dan Boneh
2015 — conf
Distributed Authorization with Distributed Grammars.
Programming Languages with Applications to Biology and Security
Martín Abadi, Mike Burrows, Himabindu Pucha, Adam Sadovsky, Asim Shankar, Ankur Taly
2014 A* conf
Macaroons: Cookies with Contextual Caveats for Decentralized Authorization in the Cloud.
NDSS
Arnar Birgisson, Joe Gibbs Politz, Úlfar Erlingsson, Ankur Taly, Michael Vrable, Mark Lentczner
2013 — —
Sandboxing untrusted JavaScript.
Ankur Taly
2012 A* conf
Automated synthesis of symbolic instruction encodings from I/O samples.
PLDI
Patrice Godefroid, Ankur Taly
2011 A* conf
Automated Analysis of Security-Critical JavaScript APIs.
IEEE Symposium on Security and Privacy
Ankur Taly, Úlfar Erlingsson, John C. Mitchell, Mark S. Miller, Jasvir Nagra
2011 J jnl
Synthesizing switching logic using constraint solving.
Int. J. Softw. Tools Technol. Transf.
Ankur Taly, Sumit Gulwani, Ashish Tiwari
2010 A* conf
Object Capabilities and Isolation of Untrusted Web Applications.
IEEE Symposium on Security and Privacy
Sergio Maffeis, John C. Mitchell, Ankur Taly
2010 Misc conf
Switching logic synthesis for reachability.
EMSOFT
Ankur Taly, Ashish Tiwari
2009 — conf
Deductive Verification of Continuous Dynamical Systems.
FSTTCS
Ankur Taly, Ashish Tiwari
2009 A conf
Isolating JavaScript with Filters, Rewriting, and Wrappers.
ESORICS
Sergio Maffeis, John C. Mitchell, Ankur Taly
2009 A conf
Language-Based Isolation of Untrusted JavaScript.
CSF
Sergio Maffeis, Ankur Taly
2009 B conf
Synthesizing Switching Logic Using Constraint Solving.
VMCAI
Ankur Taly, Sumit Gulwani, Ashish Tiwari
2008 B conf
An Operational Semantics for JavaScript.
APLAS
Sergio Maffeis, John C. Mitchell, Ankur Taly
2007 A conf
Static Analysis by Policy Iteration on Relational Domains.
ESOP
Stephane Gaubert, Eric Goubault, Ankur Taly, Sarah Zennou