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2020 – today
- 2024
[c27]Krishnaram Kenthapadi
, Mehrnoosh Sameki, Ankur Taly:
Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey). KDD 2024: 6523-6533- [i21]Andrew Bai, Chih-Kuan Yeh, Cho-Jui Hsieh, Ankur Taly:
Which Pretrain Samples to Rehearse when Finetuning Pretrained Models? CoRR abs/2402.08096 (2024) - [i20]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 abs/2407.08223 (2024) - [i19]Krishnaram Kenthapadi, Mehrnoosh Sameki, Ankur Taly:
Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey). CoRR abs/2407.12858 (2024) - 2023
- [j4]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): 1-52 (2023) - [j3]Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister:
Interpretable Mixture of Experts. Trans. Mach. Learn. Res. 2023 (2023) - [i18]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 abs/2308.14840 (2023) - 2022
- [j2]David S. Watson, Limor Gultchin, Ankur Taly, Luciano Floridi:
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice. Minds Mach. 32(1): 185-218 (2022) - [c26]Chih-Kuan Yeh, Ankur Taly, Mukund Sundararajan, Frederick Liu, Pradeep Ravikumar:
First is Better Than Last for Language Data Influence. NeurIPS 2022 - [i17]Chih-Kuan Yeh, Ankur Taly, Mukund Sundararajan, Frederick Liu, Pradeep Ravikumar:
First is Better Than Last for Training Data Influence. CoRR abs/2202.11844 (2022) - [i16]Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister:
Interpretable Mixture of Experts for Structured Data. CoRR abs/2206.02107 (2022) - 2021
- [c25]David S. Watson, Limor Gultchin, Ankur Taly, Luciano Floridi:
Local explanations via necessity and sufficiency: unifying theory and practice. UAI 2021: 1382-1392 - [i15]David S. Watson, Limor Gultchin, Ankur Taly, Luciano Floridi:
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice. CoRR abs/2103.14651 (2021) - [i14]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 abs/2103.14976 (2021) - 2020
- [c24]Luke Merrick, Ankur Taly:
The Explanation Game: Explaining Machine Learning Models Using Shapley Values. CD-MAKE 2020: 17-38 - [c23]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: 648-657 - [c22]Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly:
Explainable AI in industry: practical challenges and lessons learned: implications tutorial. FAT* 2020: 699 - [c21]Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly:
Explainable AI in Industry: Practical Challenges and Lessons Learned. WWW (Companion Volume) 2020: 303-304
2010 – 2019
- 2019
- [c20]Sahaj Garg, Vincent Perot, Nicole Limtiaco, Ankur Taly, Ed H. Chi, Alex Beutel:
Counterfactual Fairness in Text Classification through Robustness. AIES 2019: 219-226 - [c19]Mukund Sundararajan, Jinhua Xu, Ankur Taly, Rory Sayres, Amir Najmi:
Exploring Principled Visualizations for Deep Network Attributions. IUI Workshops 2019 - [c18]Divya Gopinath, Hayes Converse, Corina S. Pasareanu, Ankur Taly:
Property Inference for Deep Neural Networks. ASE 2019: 797-809 - [c17]Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly:
Explainable AI in Industry. KDD 2019: 3203-3204 - [i13]Divya Gopinath, Ankur Taly, Hayes Converse, Corina S. Pasareanu:
Finding Invariants in Deep Neural Networks. CoRR abs/1904.13215 (2019) - [i12]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 abs/1909.06342 (2019) - [i11]Luke Merrick, Ankur Taly:
The Explanation Game: Explaining Machine Learning Models with Cooperative Game Theory. CoRR abs/1909.08128 (2019) - 2018
- [c16]Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere:
Did the Model Understand the Question? ACL (1) 2018: 1896-1906 - [i10]Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere:
It was the training data pruning too! CoRR abs/1803.04579 (2018) - [i9]Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere:
Did the Model Understand the Question? CoRR abs/1805.05492 (2018) - [i8]Mukund Sundararajan, Ankur Taly:
A Note about: Local Explanation Methods for Deep Neural Networks lack Sensitivity to Parameter Values. CoRR abs/1806.04205 (2018) - [i7]Sahaj Garg, Vincent Perot, Nicole Limtiaco, Ankur Taly, Ed H. Chi, Alex Beutel:
Counterfactual Fairness in Text Classification through Robustness. CoRR abs/1809.10610 (2018) - [i6]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 abs/1811.11310 (2018) - 2017
- [c15]Mukund Sundararajan, Ankur Taly, Qiqi Yan:
Axiomatic Attribution for Deep Networks. ICML 2017: 3319-3328 - [i5]Mukund Sundararajan, Ankur Taly, Qiqi Yan:
Axiomatic Attribution for Deep Networks. CoRR abs/1703.01365 (2017) - [i4]Kedar Dhamdhere, Kevin S. McCurley, Mukund Sundararajan, Ankur Taly:
Abductive Matching in Question Answering. CoRR abs/1709.03036 (2017) - 2016
- [c14]David J. Wu, Ankur Taly, Asim Shankar, Dan Boneh:
Privacy, Discovery, and Authentication for the Internet of Things. ESORICS (2) 2016: 301-319 - [c13]Ankur Taly, Asim Shankar:
Distributed Authorization in Vanadium. FOSAD 2016: 139-162 - [i3]David J. Wu, Ankur Taly, Asim Shankar, Dan Boneh:
Privacy, Discovery, and Authentication for the Internet of Things. CoRR abs/1604.06959 (2016) - [i2]Ankur Taly, Asim Shankar:
Distributed Authorization in Vanadium. CoRR abs/1607.02192 (2016) - [i1]Mukund Sundararajan, Ankur Taly, Qiqi Yan:
Gradients of Counterfactuals. CoRR abs/1611.02639 (2016) - 2015
- [c12]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: 10-26 - 2014
- [c11]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 - 2013
- [b1]Ankur Taly:
Sandboxing untrusted JavaScript. Stanford University, USA, 2013 - 2012
- [c10]Patrice Godefroid, Ankur Taly:
Automated synthesis of symbolic instruction encodings from I/O samples. PLDI 2012: 441-452 - 2011
- [j1]Ankur Taly, Sumit Gulwani, Ashish Tiwari:
Synthesizing switching logic using constraint solving. Int. J. Softw. Tools Technol. Transf. 13(6): 519-535 (2011) - [c9]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: 363-378 - 2010
- [c8]Ankur Taly, Ashish Tiwari:
Switching logic synthesis for reachability. EMSOFT 2010: 19-28 - [c7]Sergio Maffeis, John C. Mitchell, Ankur Taly:
Object Capabilities and Isolation of Untrusted Web Applications. IEEE Symposium on Security and Privacy 2010: 125-140
2000 – 2009
- 2009
- [c6]Sergio Maffeis, Ankur Taly:
Language-Based Isolation of Untrusted JavaScript. CSF 2009: 77-91 - [c5]Sergio Maffeis, John C. Mitchell, Ankur Taly:
Isolating JavaScript with Filters, Rewriting, and Wrappers. ESORICS 2009: 505-522 - [c4]Ankur Taly, Ashish Tiwari:
Deductive Verification of Continuous Dynamical Systems. FSTTCS 2009: 383-394 - [c3]Ankur Taly, Sumit Gulwani, Ashish Tiwari:
Synthesizing Switching Logic Using Constraint Solving. VMCAI 2009: 305-319 - 2008
- [c2]Sergio Maffeis, John C. Mitchell, Ankur Taly:
An Operational Semantics for JavaScript. APLAS 2008: 307-325 - 2007
- [c1]Stephane Gaubert, Eric Goubault, Ankur Taly, Sarah Zennou:
Static Analysis by Policy Iteration on Relational Domains. ESOP 2007: 237-252
Coauthor Index
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last updated on 2024-09-10 01:16 CEST by the dblp team
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