Arvind Narayanan

161 papers A* 30A 4B 5C 3Misc 2Journal 91Unranked 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
Towards a Science of AI Agent Reliability.
CoRR
Stephan Rabanser, Sayash Kapoor, Peter Kirgis, Kangheng Liu, Saiteja Utpala, Arvind Narayanan
2025 J jnl
AI Agents That Matter.
Trans. Mach. Learn. Res.
Sayash Kapoor, Benedikt Stroebl, Zachary S. Siegel, Nitya Nadgir, Arvind Narayanan
2025 J jnl
Advancing Science- and Evidence-based AI Policy.
CoRR
Rishi Bommasani, Sanjeev Arora, Jennifer T. Chayes, Yejin Choi, Mariano-Florentino Cuellar, Li Fei-Fei, Daniel E. Ho, Dan Jurafsky, Sanmi Koyejo, Hima Lakkaraju, Arvind Narayanan, Alondra Nelson, Emma Pierson, Joelle Pineau, Scott R. Singer, Gaël Varoquaux, Suresh Venkatasubramanian, Ion Stoica, Percy Liang, Dawn Song
2025 J jnl
Bridging Prediction and Intervention Problems in Social Systems.
CoRR
Lydia T. Liu, Inioluwa Deborah Raji, Angela Zhou, Luke Guerdan, Jessica Hullman, Daniel Malinsky, Bryan Wilder, Simone Zhang, Hammaad Adam, Amanda Coston, Benjamin Laufer, Ezinne Nwankwo, Michael Zanger-Tishler, Eli Ben-Michael, Solon Barocas, Avi Feller, Marissa Gerchick, Talia Gillis, Shion Guha, Daniel E. Ho, Lily Hu, Kosuke Imai, Sayash Kapoor, Joshua Loftus, Razieh Nabi, Arvind Narayanan, Ben Recht, Juan Carlos Perdomo, Matthew J. Salganik, Mark P. Sendak, Alexander Tolbert, Berk Ustun, Suresh Venkatasubramanian, Angelina Wang, Ashia Wilson
2025 A conf
Hindsight Merging: Diverse Data Generation with Language Models.
UAI
Veniamin Veselovsky, Benedikt Stroebl, Gianluca M. Bencomo, Dilip Arumugam, Lisa Schut, Arvind Narayanan, Thomas L. Griffiths
2025 J jnl
Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation.
CoRR
Sayash Kapoor, Benedikt Stroebl, Peter Kirgis, Nitya Nadgir, Zachary S. Siegel, Boyi Wei, Tianci Xue, Ziru Chen, Felix Chen, Saiteja Utpala, Franck Ndzomga, Dheeraj Oruganty, Sophie Luskin, Kangheng Liu, Botao Yu, Amit Arora, Dongyoon Hahm, Harsh Trivedi, Huan Sun, Juyong Lee, Tengjun Jin, Yifan Mai, Yifei Zhou, Yuxuan Zhu, Rishi Bommasani, Daniel Kang, Dawn Song, Peter Henderson, Yu Su, Percy Liang, Arvind Narayanan
2025 J jnl
In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI.
CoRR
Shayne Longpre, Kevin Klyman, Ruth E. Appel, Sayash Kapoor, Rishi Bommasani, Michelle Sahar, Sean McGregor, Avijit Ghosh, Borhane Blili-Hamelin, Nathan Butters, Alondra Nelson, Amit Elazari, Andrew Sellars, Casey John Ellis, Dane Sherrets, Dawn Song, Harley Geiger, Ilona Cohen, Lauren McIlvenny, Madhulika Srikumar, Mark M. Jaycox, Markus Anderljung, Nadine Farid Johnson, Nicholas Carlini, Nicolas Miailhe, Nik Marda, Peter Henderson, Rebecca S. Portnoff, Rebecca Weiss, Victoria Westerhoff, Yacine Jernite, Rumman Chowdhury, Percy Liang, Arvind Narayanan
2025 J jnl
International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications.
CoRR
Yoshua Bengio, Stephen Clare, Carina Prunkl, Shalaleh Rismani, Maksym Andriushchenko, Ben Bucknall, Philip Fox, Tiancheng Hu, Cameron Jones, Sam Manning, Nestor Maslej, Vasilios Mavroudis, Conor McGlynn, Malcolm Murray, Charlotte Stix, Lucia Velasco, Nicole Wheeler, Daniel Privitera, Sören Mindermann, Daron Acemoglu, Thomas G. Dietterich, Fredrik Heintz, Geoffrey E. Hinton, Nicholas R. Jennings, Susan Leavy, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Alavaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Yan-Ning Zhang, Leandro Aguirre, Olubunmi Ajala, Fahad Albalawi Noora AlMalek, Christian Busch, André C. P. L. F. de Carvalho, Jonathan Collas, Amandeep Gill, Ahmet Halit Hatip, Juha Heikkilä, Chris Johnson, Gill Jolly, Ziv Katzir, Mary Kerema, Hiroaki Kitano, Antonio Krüger, Aoife McLysaght, Oleksii Molchanovskyi, Andrea Monti, Kyoung Mu Lee, Mona Nemer, Nuria Oliver, Raquel Pezoa Rivera, Audrey Plonk, José Ramón López Portillo, Balaraman Ravindran, Hammam Riza, Crystal Rugege, Haroon Sheikh, Denise Wong, Yi Zeng, Liming Zhu
2025 J jnl
International AI Safety Report 2025: Second Key Update: Technical Safeguards and Risk Management.
CoRR
Yoshua Bengio, Stephen Clare, Carina Prunkl, Maksym Andriushchenko, Ben Bucknall, Philip Fox, Nestor Maslej, Conor McGlynn, Malcolm Murray, Shalaleh Rismani, Stephen Casper, Jessica Newman, Daniel Privitera, Sören Mindermann, Daron Acemoglu, Thomas G. Dietterich, Fredrik Heintz, Geoffrey E. Hinton, Nick R. Jennings, Susan Leavy, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Alavaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Yanning Zhang, Leandro Aguirre, Olubunmi Ajala, Fahad Albalawi Noora AlMalek, Noora AlMalek, Christian Busch, André Carvalho, Jonathan Collas, Amandeep Gill, Ahmet Halit Hatip, Juha Heikkilä, Chris Johnson, Gill Jolly, Ziv Katzir, Mary Kerema, Hiroaki Kitano, Antonio Krüger, Aoife McLysaght, Oleksii Molchanovskyi, Andrea Monti, Kyoung Mu Lee, Mona Nemer, Nuria Oliver, Raquel Pezoa, Audrey Plonk, José Ramón López Portillo, Balaraman Ravindran, Hammam Riza, Crystal Rugege, Haroon Sheikh, Denise Wong, Yi Zeng, Liming Zhu
2025 J jnl
International AI Safety Report.
CoRR
Yoshua Bengio, Sören Mindermann, Daniel Privitera, Tamay Besiroglu, Rishi Bommasani, Stephen Casper, Yejin Choi, Philip Fox, Ben Garfinkel, Danielle Goldfarb, Hoda Heidari, Anson Ho, Sayash Kapoor, Leila Khalatbari, Shayne Longpre, Sam Manning, Vasilios Mavroudis, Mantas Mazeika, Julian Michael, Jessica Newman, Kwan Yee Ng, Chinasa T. Okolo, Inioluwa Deborah Raji, Girish Sastry, Elizabeth Seger, Theodora Skeadas, Tobin South, Emma Strubell, Florian Tramèr, Lucia Velasco, Nicole Wheeler, Daron Acemoglu, Olubayo Adekanmbi, David Dalrymple, Thomas G. Dietterich, Edward W. Felten, Pascale Fung, Pierre-Olivier Gourinchas, Fredrik Heintz, Geoffrey E. Hinton, Nick R. Jennings, Andreas Krause, Susan Leavy, Percy Liang, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Alice Oh, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Dawn Song, Alvaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Ya-Qin Zhang, Fahad Albalawi, Marwan Alserkal, Olubunmi Ajala, Guillaume Avrin, Christian Busch, André Carlos Ponce de Leon Ferreira de Carvalho, Bronwyn Fox, Amandeep Singh Gill, Ahmet Halit Hatip, Juha Heikkilä, Gill Jolly, Ziv Katzir, Hiroaki Kitano, Antonio Krüger, Chris Johnson, Saif M. Khan, Kyoung Mu Lee, Dominic Vincent Ligot, Oleksii Molchanovskyi, Andrea Monti, Nusu Mwamanzi, Mona Nemer, Nuria Oliver, José Ramón López Portillo, Balaraman Ravindran, Raquel Pezoa Rivera, Hammam Riza, Crystal Rugege, Ciarán Seoighe, Jerry Sheehan, Haroon Sheikh, Denise Wong, Yi Zeng
2025 J jnl
Localized Cultural Knowledge is Conserved and Controllable in Large Language Models.
CoRR
Veniamin Veselovsky, Berke Argin, Benedikt Stroebl, Chris Wendler, Robert West, James Evans, Thomas L. Griffiths, Arvind Narayanan
2025 J jnl
Moving towards informative and actionable social media research.
CoRR
Joseph B. Bak-Coleman, Stephan Lewandowsky, Philipp Lorenz-Spreen, Arvind Narayanan, Amy C. Orben, Lisa Oswald
2025 — conf
Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI.
ICML (Position Papers)
Shayne Longpre, Kevin Klyman, Ruth Elisabeth Appel, Sayash Kapoor, Rishi Bommasani, Michelle Sahar, Sean McGregor, Avijit Ghosh, Borhane Blili-Hamelin, Nathan Butters, Alondra Nelson, Amit Elazari, Andrew Sellars, Casey John Ellis, Dane Sherrets, Dawn Song, Harley Geiger, Ilona Cohen, Lauren McIlvenny, Madhulika Srikumar, Mark M. Jaycox, Markus Anderljung, Nadine Farid Johnson, Nicholas Carlini, Nicolas Miailhe, Nik Marda, Peter Henderson, Rebecca S. Portnoff, Rebecca Weiss, Victoria Westerhoff, Yacine Jernite, Rumman Chowdhury, Percy Liang, Arvind Narayanan
2024 J jnl
A Safe Harbor for AI Evaluation and Red Teaming.
CoRR
Shayne Longpre, Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami, Rishi Bommasani, Borhane Blili-Hamelin, Yangsibo Huang, Aviya Skowron, Zheng Xin Yong, Suhas Kotha, Yi Zeng, Weiyan Shi, Xianjun Yang, Reid Southen, Alexander Robey, Patrick Chao, Diyi Yang, Ruoxi Jia, Daniel Kang, Sandy Pentland, Arvind Narayanan, Percy Liang, Peter Henderson
2024 J jnl
AI Agents That Matter.
CoRR
Sayash Kapoor, Benedikt Stroebl, Zachary S. Siegel, Nitya Nadgir, Arvind Narayanan
2024 J jnl
AI Risk Management Should Incorporate Both Safety and Security.
CoRR
Xiangyu Qi, Yangsibo Huang, Yi Zeng, Edoardo Debenedetti, Jonas Geiping, Luxi He, Kaixuan Huang, Udari Madhushani, Vikash Sehwag, Weijia Shi, Boyi Wei, Tinghao Xie, Danqi Chen, Pin-Yu Chen, Jeffrey Ding, Ruoxi Jia, Jiaqi Ma, Arvind Narayanan, Weijie J. Su, Mengdi Wang, Chaowei Xiao, Bo Li, Dawn Song, Peter Henderson, Prateek Mittal
2024 J jnl
CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark.
CoRR
Zachary S. Siegel, Sayash Kapoor, Nitya Nagdir, Benedikt Stroebl, Arvind Narayanan
2024 J jnl
CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark.
Trans. Mach. Learn. Res.
Zachary S. Siegel, Sayash Kapoor, Nitya Nadgir, Benedikt Stroebl, Arvind Narayanan
2024 — conf
Foundation Model Transparency Reports.
AIES (1)
Rishi Bommasani, Kevin Klyman, Shayne Longpre, Betty Xiong, Sayash Kapoor, Nestor Maslej, Arvind Narayanan, Percy Liang
2024 J jnl
Foundation Model Transparency Reports.
CoRR
Rishi Bommasani, Kevin Klyman, Shayne Longpre, Betty Xiong, Sayash Kapoor, Nestor Maslej, Arvind Narayanan, Percy Liang
2024 J jnl
Inference Scaling fLaws: The Limits of LLM Resampling with Imperfect Verifiers.
CoRR
Benedikt Stroebl, Sayash Kapoor, Arvind Narayanan
2024 J jnl
International Scientific Report on the Safety of Advanced AI (Interim Report).
CoRR
Yoshua Bengio, Sören Mindermann, Daniel Privitera, Tamay Besiroglu, Rishi Bommasani, Stephen Casper, Yejin Choi, Danielle Goldfarb, Hoda Heidari, Leila Khalatbari, Shayne Longpre, Vasilios Mavroudis, Mantas Mazeika, Kwan Yee Ng, Chinasa T. Okolo, Inioluwa Deborah Raji, Theodora Skeadas, Florian Tramèr, Bayo Adekanmbi, Paul F. Christiano, David Dalrymple, Thomas G. Dietterich, Edward W. Felten, Pascale Fung, Pierre-Olivier Gourinchas, Nick R. Jennings, Andreas Krause, Percy Liang, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Arvind Narayanan, Alondra Nelson, Alice Oh, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Dawn Song, Alvaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Ya-Qin Zhang
2024 J jnl
On the Societal Impact of Open Foundation Models.
CoRR
Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen K. Hopkins, Kevin Bankston, Stella Biderman, Miranda Bogen, Rumman Chowdhury, Alex Engler, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan
2024 A* conf
Position: A Safe Harbor for AI Evaluation and Red Teaming.
ICML
Shayne Longpre, Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami, Rishi Bommasani, Borhane Blili-Hamelin, Yangsibo Huang, Aviya Skowron, Zheng Xin Yong, Suhas Kotha, Yi Zeng, Weiyan Shi, Xianjun Yang, Reid Southen, Alexander Robey, Patrick Chao, Diyi Yang, Ruoxi Jia, Daniel Kang, Sandy Pentland, Arvind Narayanan, Percy Liang, Peter Henderson
2024 A* conf
Position: On the Societal Impact of Open Foundation Models.
ICML
Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen K. Hopkins, Kevin Bankston, Stella Biderman, Miranda Bogen, Rumman Chowdhury, Alex Engler, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan
2024 J jnl
Promises and pitfalls of artificial intelligence for legal applications.
CoRR
Sayash Kapoor, Peter Henderson, Arvind Narayanan
2024 J jnl
Special Issue on 6G Technologies and Applications.
IEEE Internet Comput.
Arvind Narayanan, Mahesh K. Marina, Vijay Gopalakrishnan
2024 J jnl
The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources.
CoRR
Shayne Longpre, Stella Biderman, Alon Albalak, Hailey Schoelkopf, Daniel McDuff, Sayash Kapoor, Kevin Klyman, Kyle Lo, Gabriel Ilharco, Nay San, Maribeth Rauh, Aviya Skowron, Bertie Vidgen, Laura Weidinger, Arvind Narayanan, Victor Sanh, David Ifeoluwa Adelani, Percy Liang, Rishi Bommasani, Peter Henderson, Sasha Luccioni, Yacine Jernite, Luca Soldaini
2024 J jnl
The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources.
Trans. Mach. Learn. Res.
Shayne Longpre, Stella Biderman, Alon Albalak, Hailey Schoelkopf, Daniel McDuff, Sayash Kapoor, Kevin Klyman, Kyle Lo, Gabriel Ilharco, Nay San, Maribeth Rauh, Aviya Skowron, Bertie Vidgen, Laura Weidinger, Arvind Narayanan, Victor Sanh, David Ifeoluwa Adelani, Percy Liang, Rishi Bommasani, Peter Henderson, Sasha Luccioni, Yacine Jernite, Luca Soldaini
2023 J jnl
A semi-automatic method for document classification in the shipping industry.
CoRR
Arvind Narayanan
2023 — conf
Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy.
FAccT
Angelina Wang, Sayash Kapoor, Solon Barocas, Arvind Narayanan
2023 B conf
An In-Depth Measurement Analysis of 5G mmWave PHY Latency and Its Impact on End-to-End Delay.
PAM
Rostand A. K. Fezeu, Eman Ramadan, Wei Ye, Benjamin Minneci, Jack Xie, Arvind Narayanan, Ahmad Hassan, Feng Qian, Zhi-Li Zhang, Jaideep Chandrashekar, Myungjin Lee
2023 J jnl
Leakage and the reproducibility crisis in machine-learning-based science.
Patterns
Sayash Kapoor, Arvind Narayanan
2023 J jnl
Manipulative tactics are the norm in political emails: Evidence from 300K emails from the 2020 US election cycle.
Big Data Soc.
Arunesh Mathur, Angelina Wang, Carsten Schwemmer, Maia Hamin, Brandon M. Stewart, Arvind Narayanan
2023 J jnl
REFORMS: Reporting Standards for Machine Learning Based Science.
CoRR
Sayash Kapoor, Emily Cantrell, Kenny Peng, Thanh Hien Pham, Christopher A. Bail, Odd Erik Gundersen, Jake M. Hofman, Jessica Hullman, Michael A. Lones, Momin M. Malik, Priyanka Nanayakkara, Russell A. Poldrack, Inioluwa Deborah Raji, Michael Roberts, Matthew J. Salganik, Marta Serra-Garcia, Brandon M. Stewart, Gilles Vandewiele, Arvind Narayanan
2023 J jnl
Security Policy Audits: Why and How.
IEEE Secur. Priv.
Arvind Narayanan, Kevin Lee
2022 A* conf
A Comparative Measurement Study of Commercial 5G mmWave Deployments.
INFOCOM
Arvind Narayanan, Muhammad Iqbal Rochman, Ahmad Hassan, Bariq S. Firmansyah, Vanlin Sathya, Monisha Ghosh, Feng Qian, Zhi-Li Zhang
2022 J jnl
GranularNF: Granular Decomposition of Stateful NFV at 100 Gbps Line Speed and Beyond.
SIGMETRICS Perform. Evaluation Rev.
Ziyan Wu, Tianming Cui, Arvind Narayanan, Yang Zhang, Kangjie Lu, Antonia Zhai, Zhi-Li Zhang
2022 C conf
How Algorithms Shape the Distribution of Political Advertising: Case Studies of Facebook, Google, and TikTok.
AIES
Orestis Papakyriakopoulos, Christelle Tessono, Arvind Narayanan, Mihir Kshirsagar
2022 J jnl
How Algorithms Shape the Distribution of Political Advertising: Case Studies of Facebook, Google, and TikTok.
CoRR
Orestis Papakyriakopoulos, Christelle Tessono, Arvind Narayanan, Mihir Kshirsagar
2022 J jnl
Leakage and the Reproducibility Crisis in ML-based Science.
CoRR
Sayash Kapoor, Arvind Narayanan
2022 — conf
Password policies of most top websites fail to follow best practices.
SOUPS @ USENIX Security Symposium
Kevin Lee, Sten Sjöberg, Arvind Narayanan
2022 J jnl
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets.
Int. J. Comput. Vis.
Angelina Wang, Alexander Liu, Ryan Zhang, Anat Kleiman, Leslie Kim, Dora Zhao, Iroha Shirai, Arvind Narayanan, Olga Russakovsky
2022 — conf
Resurrecting Address Clustering in Bitcoin.
Financial Cryptography
Malte Möser, Arvind Narayanan
2022 J jnl
Security policy audits: why and how.
CoRR
Arvind Narayanan, Kevin Lee
2022 C conf
The Worst of Both Worlds: A Comparative Analysis of Errors in Learning from Data in Psychology and Machine Learning.
AIES
Jessica Hullman, Sayash Kapoor, Priyanka Nanayakkara, Andrew Gelman, Arvind Narayanan
2022 J jnl
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning.
CoRR
Jessica Hullman, Sayash Kapoor, Priyanka Nanayakkara, Andrew Gelman, Arvind Narayanan
2022 A* conf
Vivisecting mobility management in 5G cellular networks.
SIGCOMM
Ahmad Hassan, Arvind Narayanan, Anlan Zhang, Wei Ye, Ruiyang Zhu, Shuowei Jin, Jason Carpenter, Z. Morley Mao, Feng Qian, Zhi-Li Zhang
2022 A* conf
Vues: practical mobile volumetric video streaming through multiview transcoding.
MobiCom
Yu Liu, Bo Han, Feng Qian, Arvind Narayanan, Zhi-Li Zhang
2021 A* conf
A variegated look at 5G in the wild: performance, power, and QoE implications.
SIGCOMM
Arvind Narayanan, Xumiao Zhang, Ruiyang Zhu, Ahmad Hassan, Shuowei Jin, Xiao Zhu, Xiaoxuan Zhang, Denis Rybkin, Zhengxuan Yang, Zhuoqing Morley Mao, Feng Qian, Zhi-Li Zhang
2021 — conf
Case for 5G-aware video streaming applications.
5G-MeMZ@SIGCOMM
Eman Ramadan, Arvind Narayanan, Udhaya Kumar Dayalan, Rostand A. K. Fezeu, Feng Qian, Zhi-Li Zhang
2021 — conf
Mitigating dataset harms requires stewardship: Lessons from 1000 papers.
NeurIPS Datasets and Benchmarks
Kenneth Peng, Arunesh Mathur, Arvind Narayanan
2021 J jnl
Mitigating dataset harms requires stewardship: Lessons from 1000 papers.
CoRR
Kenny Peng, Arunesh Mathur, Arvind Narayanan
2021 A* conf
Privacy Policies over Time: Curation and Analysis of a Million-Document Dataset.
WWW
Ryan Amos, Gunes Acar, Elena Lucherini, Mihir Kshirsagar, Arvind Narayanan, Jonathan R. Mayer
2021 J jnl
Resurrecting Address Clustering in Bitcoin.
CoRR
Malte Möser, Arvind Narayanan
2021 — conf
Security and Privacy Risks of Number Recycling at Mobile Carriers in the United States.
eCrime
Kevin Lee, Arvind Narayanan
2021 J jnl
Simulation as Experiment: An Empirical Critique of Simulation Research on Recommender Systems.
CoRR
Amy A. Winecoff, Matthew Sun, Eli Lucherini, Arvind Narayanan
2021 J jnl
T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems.
CoRR
Eli Lucherini, Matthew Sun, Amy A. Winecoff, Arvind Narayanan
2021 C conf
The Ethics of Datasets: Moving Forward Requires Stepping Back.
AIES
Arvind Narayanan
2021 J jnl
The Impact of User Location on Cookie Notices (Inside and Outside of the European Union).
CoRR
Rob van Eijk, Hadi Asghari, Philipp Winter, Arvind Narayanan
2021 — conf
Virtual Classrooms and Real Harms: Remote Learning at U.S. Universities.
SOUPS @ USENIX Security Symposium
Shaanan Cohney, Ross Teixeira, Anne Kohlbrenner, Arvind Narayanan, Mihir Kshirsagar, Yan Shvartzshnaider, Madelyn Sanfilippo
2020 — conf
5G tracker: a crowdsourced platform to enable research using commercial 5g services.
SIGCOMM Posters and Demos
Arvind Narayanan, Eman Ramadan, Jacob Quant, Peiqi Ji, Feng Qian, Zhi-Li Zhang
2020 A* conf
A First Look at Commercial 5G Performance on Smartphones.
WWW
Arvind Narayanan, Eman Ramadan, Jason Carpenter, Qingxu Liu, Yu Liu, Feng Qian, Zhi-Li Zhang
2020 — conf
An Empirical Study of Wireless Carrier Authentication for SIM Swaps.
SOUPS @ USENIX Security Symposium
Kevin Lee, Benjamin Kaiser, Jonathan R. Mayer, Arvind Narayanan
2020 A* conf
BlockSci: Design and applications of a blockchain analysis platform.
USENIX Security Symposium
Harry A. Kalodner, Malte Möser, Kevin Lee, Steven Goldfeder, Martin Plattner, Alishah Chator, Arvind Narayanan
2020 J jnl
Dark Patterns: Past, Present, and Future.
ACM Queue
Arvind Narayanan, Arunesh Mathur, Marshini Chetty, Mihir Kshirsagar
2020 J jnl
Dark patterns: past, present, and future.
Commun. ACM
Arvind Narayanan, Arunesh Mathur, Marshini Chetty, Mihir Kshirsagar
2020 A conf
Lumos5G: Mapping and Predicting Commercial mmWave 5G Throughput.
Internet Measurement Conference
Arvind Narayanan, Eman Ramadan, Rishabh Mehta, Xinyue Hu, Qingxu Liu, Rostand A. K. Fezeu, Udhaya Kumar Dayalan, Saurabh Verma, Peiqi Ji, Tao Li, Feng Qian, Zhi-Li Zhang
2020 B conf
NFV Performance Profiling on Multi-core Servers.
Networking
Peng Zheng, Wendi Feng, Arvind Narayanan, Zhi-Li Zhang
2020 J jnl
No boundaries: data exfiltration by third parties embedded on web pages.
Proc. Priv. Enhancing Technol.
Gunes Acar, Steven Englehardt, Arvind Narayanan
2020 J jnl
Privacy Policies over Time: Curation and Analysis of a Million-Document Dataset.
CoRR
Ryan Amos, Gunes Acar, Elena Lucherini, Mihir Kshirsagar, Arvind Narayanan, Jonathan R. Mayer
2020 — conf
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets.
ECCV (3)
Angelina Wang, Arvind Narayanan, Olga Russakovsky
2020 J jnl
ViBE: A Tool for Measuring and Mitigating Bias in Image Datasets.
CoRR
Angelina Wang, Arvind Narayanan, Olga Russakovsky
2020 J jnl
Virtual Classrooms and Real Harms.
CoRR
Shaanan Cohney, Ross Teixeira, Anne Kohlbrenner, Arvind Narayanan, Mihir Kshirsagar, Yan Shvartzshnaider, Madelyn Sanfilippo
2019 — conf
A Closer Look at NFV Execution Models.
APNet
Peng Zheng, Arvind Narayanan, Zhi-Li Zhang
2019 J jnl
A First Measurement Study of Commercial mmWave 5G Performance on Smartphones.
CoRR
Arvind Narayanan, Jason Carpenter, Eman Ramadan, Qingxu Liu, Yu Liu, Feng Qian, Zhi-Li Zhang
2019 J jnl
Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites.
CoRR
Arunesh Mathur, Gunes Acar, Michael Friedman, Elena Lucherini, Jonathan R. Mayer, Marshini Chetty, Arvind Narayanan
2019 J jnl
Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites.
Proc. ACM Hum. Comput. Interact.
Arunesh Mathur, Gunes Acar, Michael Friedman, Elena Lucherini, Jonathan R. Mayer, Marshini Chetty, Arvind Narayanan
2019 A* conf
Formal Barriers to Longest-Chain Proof-of-Stake Protocols.
EC
Jonah Brown-Cohen, Arvind Narayanan, Alexandros Psomas, S. Matthew Weinberg
2019 J jnl
Keeping the Smart Home Private with Smart(er) IoT Traffic Shaping.
Proc. Priv. Enhancing Technol.
Noah J. Apthorpe, Danny Yuxing Huang, Dillon Reisman, Arvind Narayanan, Nick Feamster
2019 J jnl
Mining latent patterns in geoMobile data via EPIC.
World Wide Web
Arvind Narayanan, Saurabh Verma, Zhi-Li Zhang
2019 — conf
Towards a Scalable, Flexible and High Performance NFV Execution Model.
CoNEXT Companion
Peng Zheng, Arvind Narayanan, Zhi-Li Zhang
2019 A* conf
Watching You Watch: The Tracking Ecosystem of Over-the-Top TV Streaming Devices.
CCS
Hooman Mohajeri Moghaddam, Gunes Acar, Ben Burgess, Arunesh Mathur, Danny Yuxing Huang, Nick Feamster, Edward W. Felten, Prateek Mittal, Arvind Narayanan
2018 J jnl
An Empirical Analysis of Traceability in the Monero Blockchain.
Proc. Priv. Enhancing Technol.
Malte Möser, Kyle Soska, Ethan Heilman, Kevin Lee, Henry Heffan, Shashvat Srivastava, Kyle Hogan, Jason Hennessey, Andrew Miller, Arvind Narayanan, Nicolas Christin
2018 J jnl
An Empirical Study of Affiliate Marketing Disclosures on YouTube and Pinterest.
CoRR
Arunesh Mathur, Arvind Narayanan, Marshini Chetty
2018 A* conf
Blockchains: Past, Present, and Future.
PODS
Arvind Narayanan
2018 — conf
Characterizing the Use of Browser-Based Blocking Extensions To Prevent Online Tracking.
SOUPS @ USENIX Security Symposium
Arunesh Mathur, Jessica Vitak, Arvind Narayanan, Marshini Chetty
2018 — conf
DeepCache: A Deep Learning Based Framework For Content Caching.
NetAI@SIGCOMM
Arvind Narayanan, Saurabh Verma, Eman Ramadan, Pariya Babaie, Zhi-Li Zhang
2018 J jnl
Endorsements on Social Media: An Empirical Study of Affiliate Marketing Disclosures on YouTube and Pinterest.
CoRR
Arunesh Mathur, Arvind Narayanan, Marshini Chetty
2018 J jnl
Endorsements on Social Media: An Empirical Study of Affiliate Marketing Disclosures on YouTube and Pinterest.
Proc. ACM Hum. Comput. Interact.
Arunesh Mathur, Arvind Narayanan, Marshini Chetty
2018 J jnl
Formal Barriers to Longest-Chain Proof-of-Stake Protocols.
CoRR
Jonah Brown-Cohen, Arvind Narayanan, Christos-Alexandros Psomas, S. Matthew Weinberg
2018 J jnl
I never signed up for this! Privacy implications of email tracking.
Proc. Priv. Enhancing Technol.
Steven Englehardt, Jeffrey Han, Arvind Narayanan
2018 J jnl
Keeping the Smart Home Private with Smart(er) IoT Traffic Shaping.
CoRR
Noah J. Apthorpe, Danny Yuxing Huang, Dillon Reisman, Arvind Narayanan, Nick Feamster
2018 J jnl
Making content caching policies 'smart' using the deepcache framework.
Comput. Commun. Rev.
Arvind Narayanan, Saurabh Verma, Eman Ramadan, Pariya Babaie, Zhi-Li Zhang
2018 — conf
OpenCDN: An ICN-based open content distribution system using distributed actor model.
INFOCOM Workshops
Arvind Narayanan, Eman Ramadan, Zhi-Li Zhang
2018 J jnl
Privacy, ethics, and data access: A case study of the Fragile Families Challenge.
CoRR
Ian Lundberg, Arvind Narayanan, Karen Levy, Matthew J. Salganik
2018 — conf
Web-based Attacks to Discover and Control Local IoT Devices.
IoT S&P@SIGCOMM
Gunes Acar, Danny Yuxing Huang, Frank Li, Arvind Narayanan, Nick Feamster
2018 A* conf
When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries.
NDSS
Aylin Caliskan, Fabian Yamaguchi, Edwin Dauber, Richard E. Harang, Konrad Rieck, Rachel Greenstadt, Arvind Narayanan
2018 J jnl
When the cookie meets the blockchain: Privacy risks of web payments via cryptocurrencies.
Proc. Priv. Enhancing Technol.
Steven Goldfeder, Harry A. Kalodner, Dillon Reisman, Arvind Narayanan
2017 J jnl
An Empirical Analysis of Linkability in the Monero Blockchain.
CoRR
Andrew Miller, Malte Möser, Kevin Lee, Arvind Narayanan
2017 A conf
BIG Cache Abstraction for Cache Networks.
ICDCS
Eman Ramadan, Arvind Narayanan, Zhi-Li Zhang, Runhui Li, Gong Zhang
2017 — conf
Battery Status Not Included: Assessing Privacy in Web Standards.
IWPE@SP
Lukasz Olejnik, Steven Englehardt, Arvind Narayanan
2017 J jnl
Bitcoin's Academic Pedigree.
ACM Queue
Arvind Narayanan, Jeremy Clark
2017 J jnl
Bitcoin's academic pedigree.
Commun. ACM
Arvind Narayanan, Jeremy Clark
2017 J jnl
BlockSci: Design and applications of a blockchain analysis platform.
CoRR
Harry A. Kalodner, Steven Goldfeder, Alishah Chator, Malte Möser, Arvind Narayanan
2017 A* conf
De-anonymizing Web Browsing Data with Social Networks.
WWW
Jessica Su, Ansh Shukla, Sharad Goel, Arvind Narayanan
2017 — conf
Escrow Protocols for Cryptocurrencies: How to Buy Physical Goods Using Bitcoin.
Financial Cryptography
Steven Goldfeder, Joseph Bonneau, Rosario Gennaro, Arvind Narayanan
2017 A conf
Multi-low-rank Approximation for Traffic Matrices.
ITC
Saurabh Verma, Arvind Narayanan, Zhi-Li Zhang
2017 J jnl
Obfuscation in Bitcoin: Techniques and Politics.
CoRR
Arvind Narayanan, Malte Möser
2017 J jnl
Online Privacy and Web Transparency (Dagstuhl Seminar 17162).
Dagstuhl Reports
Nataliia Bielova, Nikolaos Laoutaris, Arvind Narayanan, Nick Nikiforakis
2017 J jnl
Research for practice: cryptocurrencies, blockchains, and smart contracts; hardware for deep learning.
Commun. ACM
Peter Bailis, Arvind Narayanan, Andrew Miller, Song Han
2017 J jnl
Spying on the Smart Home: Privacy Attacks and Defenses on Encrypted IoT Traffic.
CoRR
Noah J. Apthorpe, Dillon Reisman, Srikanth Sundaresan, Arvind Narayanan, Nick Feamster
2017 J jnl
Ten simple rules for responsible big data research.
PLoS Comput. Biol.
Matthew Zook, Solon Barocas, danah boyd, Kate Crawford, Emily Keller, Seeta Peña Gangadharan, Alyssa Goodman, Rachelle Hollander, Barbara König, Jacob Metcalf, Arvind Narayanan, Alondra Nelson, Frank Pasquale
2017 J jnl
The Future of Ad Blocking: An Analytical Framework and New Techniques.
CoRR
Grant Storey, Dillon Reisman, Jonathan R. Mayer, Arvind Narayanan
2017 J jnl
When the cookie meets the blockchain: Privacy risks of web payments via cryptocurrencies.
CoRR
Steven Goldfeder, Harry A. Kalodner, Dillon Reisman, Arvind Narayanan
2016 — book
Bitcoin and Cryptocurrency Technologies - A Comprehensive Introduction.
Arvind Narayanan, Joseph Bonneau, Edward W. Felten, Andrew Miller, Steven Goldfeder
2016 — conf
Mining Spatial-Temporal
MobiData@MobiSys
Arvind Narayanan, Saurabh Verma, Zhi-Li Zhang
2016 B conf
Most Calls Are Local (But Some Are Regional): Dissecting Cellular Communication Patterns.
GLOBECOM
Arvind Narayanan, Saurabh Verma, Zhi-Li Zhang
2016 A* conf
On the Instability of Bitcoin Without the Block Reward.
CCS
Miles Carlsten, Harry A. Kalodner, S. Matthew Weinberg, Arvind Narayanan
2016 A* conf
Online Tracking: A 1-million-site Measurement and Analysis.
CCS
Steven Englehardt, Arvind Narayanan
2016 — conf
Position estimation of robotic mobile nodes in wireless testbed using GENI.
SysCon
Ahmed Abdelhadi, Felipe Rechia, Arvind Narayanan, Thiago Teixeira, Ricardo Lent, Driss Benhaddou, Hyunwoo Lee, T. Charles Clancy
2016 J jnl
Research for Practice: Cryptocurrencies, Blockchains, and Smart Contracts; Hardware for Deep Learning.
ACM Queue
Peter Bailis, Arvind Narayanan, Andrew Miller, Song Han
2016 J jnl
Semantics derived automatically from language corpora necessarily contain human biases.
CoRR
Aylin Caliskan Islam, Joanna J. Bryson, Arvind Narayanan
2016 B conf
Threshold-Optimal DSA/ECDSA Signatures and an Application to Bitcoin Wallet Security.
ACNS
Rosario Gennaro, Steven Goldfeder, Arvind Narayanan
2016 J jnl
Threshold-optimal DSA/ECDSA signatures and an application to Bitcoin wallet security.
IACR Cryptol. ePrint Arch.
Rosario Gennaro, Steven Goldfeder, Arvind Narayanan
2015 — conf
An Empirical Study of Namecoin and Lessons for Decentralized Namespace Design.
WEIS
Harry A. Kalodner, Miles Carlsten, Paul M. Ellenbogen, Joseph Bonneau, Arvind Narayanan
2015 — conf
CONIA: Content (provider)-oriented, namespace-independent architecture for multimedia information delivery.
ICME Workshops
Eman Ramadan, Arvind Narayanan, Zhi-Li Zhang
2015 A* conf
Cookies That Give You Away: The Surveillance Implications of Web Tracking.
WWW
Steven Englehardt, Dillon Reisman, Christian Eubank, Peter Zimmerman, Jonathan R. Mayer, Arvind Narayanan, Edward W. Felten
2015 A* conf
De-anonymizing Programmers via Code Stylometry.
USENIX Security Symposium
Aylin Caliskan Islam, Richard E. Harang, Andrew Liu, Arvind Narayanan, Clare R. Voss, Fabian Yamaguchi, Rachel Greenstadt
2015 J jnl
Position Estimation of Robotic Mobile Nodes in Wireless Testbed using GENI.
CoRR
Ahmed Abdelhadi, Felipe Rechia, Arvind Narayanan, Thiago Teixeira, Ricardo Lent, Driss Benhaddou, Hyunwoo Lee, T. Charles Clancy
2015 J jnl
Research Perspectives and Challenges for Bitcoin and Cryptocurrencies.
IACR Cryptol. ePrint Arch.
Joseph Bonneau, Andrew Miller, Jeremy Clark, Arvind Narayanan, Joshua A. Kroll, Edward W. Felten
2015 A* conf
SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies.
IEEE Symposium on Security and Privacy
Joseph Bonneau, Andrew Miller, Jeremy Clark, Arvind Narayanan, Joshua A. Kroll, Edward W. Felten
2015 J jnl
When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries.
CoRR
Aylin Caliskan Islam, Fabian Yamaguchi, Edwin Dauber, Richard E. Harang, Konrad Rieck, Rachel Greenstadt, Arvind Narayanan
2014 — conf
Mixcoin: Anonymity for Bitcoin with Accountable Mixes.
Financial Cryptography
Joseph Bonneau, Arvind Narayanan, Andrew Miller, Jeremy Clark, Joshua A. Kroll, Edward W. Felten
2014 J jnl
Mixcoin: Anonymity for Bitcoin with accountable mixes.
IACR Cryptol. ePrint Arch.
Joseph Bonneau, Arvind Narayanan, Andrew Miller, Jeremy Clark, Joshua A. Kroll, Edward W. Felten
2014 A* conf
The Web Never Forgets: Persistent Tracking Mechanisms in the Wild.
CCS
Gunes Acar, Christian Eubank, Steven Englehardt, Marc Juarez, Arvind Narayanan, Claudia Díaz
2014 J jnl
Why software engineering courses should include ethics coverage.
Commun. ACM
Arvind Narayanan, Shannon Vallor
2013 A* conf
A Scanner Darkly: Protecting User Privacy from Perceptual Applications.
IEEE Symposium on Security and Privacy
Suman Jana, Arvind Narayanan, Vitaly Shmatikov
2013 J jnl
Routes for breaching and protecting genetic privacy.
CoRR
Yaniv Erlich, Arvind Narayanan
2013 J jnl
What Happened to the Crypto Dream?, Part 1.
IEEE Secur. Priv.
Arvind Narayanan
2013 J jnl
What Happened to the Crypto Dream?, Part 2.
IEEE Secur. Priv.
Arvind Narayanan
2012 J jnl
33 Bits of Entropy: Myths and Fallacies of "Personally Identifiable Information".
Tiny Trans. Comput. Sci.
Arvind Narayanan
2012 J jnl
A Critical Look at Decentralized Personal Data Architectures
CoRR
Arvind Narayanan, Vincent Toubiana, Solon Barocas, Helen Nissenbaum, Dan Boneh
2012 A* conf
On the Feasibility of Internet-Scale Author Identification.
IEEE Symposium on Security and Privacy
Arvind Narayanan, Hristo S. Paskov, Neil Zhenqiang Gong, John Bethencourt, Emil Stefanov, Eui Chul Richard Shin, Dawn Song
2011 A* conf
"You Might Also Like: " Privacy Risks of Collaborative Filtering.
IEEE Symposium on Security and Privacy
Joseph A. Calandrino, Ann Kilzer, Arvind Narayanan, Edward W. Felten, Vitaly Shmatikov
2011 J jnl
Link Prediction by De-anonymization: How We Won the Kaggle Social Network Challenge
CoRR
Arvind Narayanan, Elaine Shi, Benjamin I. P. Rubinstein
2011 B conf
Link prediction by de-anonymization: How We Won the Kaggle Social Network Challenge.
IJCNN
Arvind Narayanan, Elaine Shi, Benjamin I. P. Rubinstein
2011 A* conf
Location Privacy via Private Proximity Testing.
NDSS
Arvind Narayanan, Narendran Thiagarajan, Mugdha Lakhani, Michael Hamburg, Dan Boneh
2010 A* conf
Adnostic: Privacy Preserving Targeted Advertising.
NDSS
Vincent Toubiana, Arvind Narayanan, Dan Boneh, Helen Nissenbaum, Solon Barocas
2010 J jnl
Myths and fallacies of "personally identifiable information".
Commun. ACM
Arvind Narayanan, Vitaly Shmatikov
2009 J jnl
De-anonymizing Social Networks
CoRR
Arvind Narayanan, Vitaly Shmatikov
2009 A* conf
De-anonymizing Social Networks.
SP
Arvind Narayanan, Vitaly Shmatikov
2008 A* conf
Robust De-anonymization of Large Sparse Datasets.
SP
Arvind Narayanan, Vitaly Shmatikov
2006 J jnl
How To Break Anonymity of the Netflix Prize Dataset
CoRR
Arvind Narayanan, Vitaly Shmatikov
2006 J jnl
On the Limits of Point Function Obfuscation.
IACR Cryptol. ePrint Arch.
Arvind Narayanan, Vitaly Shmatikov
2006 J jnl
Perfectly Reliable Message Transmission.
Inf. Process. Lett.
Arvind Narayanan, K. Srinathan, C. Pandu Rangan
2005 A* conf
Fast dictionary attacks on passwords using time-space tradeoff.
CCS
Arvind Narayanan, Vitaly Shmatikov
2005 A* conf
Obfuscated databases and group privacy.
CCS
Arvind Narayanan, Vitaly Shmatikov
2004 A* conf
Optimal Perfectly Secure Message Transmission.
CRYPTO
K. Srinathan, Arvind Narayanan, C. Pandu Rangan
2003 Misc conf
On the Power of Computational Secret Sharing.
INDOCRYPT
Vinod Vaikuntanathan, Arvind Narayanan, K. Srinathan, C. Pandu Rangan, Kwangjo Kim
2003 Misc conf
Practical Pay TV Schemes.
ACISP
Arvind Narayanan, C. Pandu Rangan, Kwangjo Kim