Arvind Narayanan

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 103

Top Venues

CoRR

Proc. Priv. Enhancing Technol.

Commun. ACM

WWW

Publications

Rishi Bommasani, Kevin Klyman, Shayne Longpre, Betty Xiong, Sayash Kapoor, Nestor Maslej, Arvind Narayanan, Percy Liang
Foundation Model Transparency Reports. CoRR (2024)
Sayash Kapoor, Peter Henderson, Arvind Narayanan
Promises and pitfalls of artificial intelligence for legal applications. CoRR (2024)
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
AI Risk Management Should Incorporate Both Safety and Security. CoRR (2024)
Arvind Narayanan, Mahesh K. Marina, Vijay Gopalakrishnan
Special Issue on 6G Technologies and Applications. IEEE Internet Comput. 28 (2) (2024)
Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen 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
On the Societal Impact of Open Foundation Models. CoRR (2024)
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
The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources. CoRR (2024)
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
A Safe Harbor for AI Evaluation and Red Teaming. CoRR (2024)
Sayash Kapoor, Benedikt Stroebl, Zachary S. Siegel, Nitya Nadgir, Arvind Narayanan
AI Agents That Matter. CoRR (2024)
Arvind Narayanan
A semi-automatic method for document classification in the shipping industry. CoRR (2023)
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
An In-Depth Measurement Analysis of 5G mmWave PHY Latency and Its Impact on End-to-End Delay. PAM (2023)
Sayash Kapoor, Arvind Narayanan
Leakage and the reproducibility crisis in machine-learning-based science. Patterns 4 (9) (2023)
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
REFORMS: Reporting Standards for Machine Learning Based Science. CoRR (2023)
Arvind Narayanan, Kevin Lee
Security Policy Audits: Why and How. IEEE Secur. Priv. 21 (2) (2023)
Arunesh Mathur, Angelina Wang, Carsten Schwemmer, Maia Hamin, Brandon M. Stewart, Arvind Narayanan
Manipulative tactics are the norm in political emails: Evidence from 300K emails from the 2020 US election cycle. Big Data Soc. 10 (1) (2023)
Angelina Wang, Sayash Kapoor, Solon Barocas, Arvind Narayanan
Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy. FAccT (2023)
Orestis Papakyriakopoulos, Christelle Tessono, Arvind Narayanan, Mihir Kshirsagar
How Algorithms Shape the Distribution of Political Advertising: Case Studies of Facebook, Google, and TikTok. CoRR (2022)
Malte Möser, Arvind Narayanan
Resurrecting Address Clustering in Bitcoin. Financial Cryptography (2022)
Arvind Narayanan, Muhammad Iqbal Rochman, Ahmad Hassan, Bariq S. Firmansyah, Vanlin Sathya, Monisha Ghosh, Feng Qian, Zhi-Li Zhang
A Comparative Measurement Study of Commercial 5G mmWave Deployments. INFOCOM (2022)
Angelina Wang, Alexander Liu, Ryan Zhang, Anat Kleiman, Leslie Kim, Dora Zhao, Iroha Shirai, Arvind Narayanan, Olga Russakovsky
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets. Int. J. Comput. Vis. 130 (7) (2022)
Jessica Hullman, Sayash Kapoor, Priyanka Nanayakkara, Andrew Gelman, Arvind Narayanan
The Worst of Both Worlds: A Comparative Analysis of Errors in Learning from Data in Psychology and Machine Learning. AIES (2022)
Jessica Hullman, Sayash Kapoor, Priyanka Nanayakkara, Andrew Gelman, Arvind Narayanan
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning. CoRR (2022)
Ziyan Wu, Tianming Cui, Arvind Narayanan, Yang Zhang, Kangjie Lu, Antonia Zhai, Zhi-Li Zhang
GranularNF: Granular Decomposition of Stateful NFV at 100 Gbps Line Speed and Beyond. SIGMETRICS Perform. Evaluation Rev. 50 (2) (2022)
Orestis Papakyriakopoulos, Christelle Tessono, Arvind Narayanan, Mihir Kshirsagar
How Algorithms Shape the Distribution of Political Advertising: Case Studies of Facebook, Google, and TikTok. AIES (2022)
Sayash Kapoor, Arvind Narayanan
Leakage and the Reproducibility Crisis in ML-based Science. CoRR (2022)
Kevin Lee, Sten Sjöberg, Arvind Narayanan
Password policies of most top websites fail to follow best practices. SOUPS @ USENIX Security Symposium (2022)
Arvind Narayanan, Kevin Lee
Security policy audits: why and how. CoRR (2022)
Yu Liu, Bo Han, Feng Qian, Arvind Narayanan, Zhi-Li Zhang
Vues: practical mobile volumetric video streaming through multiview transcoding. MobiCom (2022)
Ahmad Hassan, Arvind Narayanan, Anlan Zhang, Wei Ye, Ruiyang Zhu, Shuowei Jin, Jason Carpenter, Z. Morley Mao, Feng Qian, Zhi-Li Zhang
Vivisecting mobility management in 5G cellular networks. SIGCOMM (2022)
Kenny Peng, Arunesh Mathur, Arvind Narayanan
Mitigating dataset harms requires stewardship: Lessons from 1000 papers. CoRR (2021)
Eli Lucherini, Matthew Sun, Amy A. Winecoff, Arvind Narayanan
T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems. CoRR (2021)
Kenneth Peng, Arunesh Mathur, Arvind Narayanan
Mitigating dataset harms requires stewardship: Lessons from 1000 papers. NeurIPS Datasets and Benchmarks (2021)
Amy A. Winecoff, Matthew Sun, Eli Lucherini, Arvind Narayanan
Simulation as Experiment: An Empirical Critique of Simulation Research on Recommender Systems. CoRR (2021)
Malte Möser, Arvind Narayanan
Resurrecting Address Clustering in Bitcoin. CoRR (2021)
Kevin Lee, Arvind Narayanan
Security and Privacy Risks of Number Recycling at Mobile Carriers in the United States. eCrime (2021)
Eman Ramadan, Arvind Narayanan, Udhaya Kumar Dayalan, Rostand A. K. Fezeu, Feng Qian, Zhi-Li Zhang
Case for 5G-aware video streaming applications. 5G-MeMZ@SIGCOMM (2021)
Shaanan Cohney, Ross Teixeira, Anne Kohlbrenner, Arvind Narayanan, Mihir Kshirsagar, Yan Shvartzshnaider, Madelyn Sanfilippo
Virtual Classrooms and Real Harms: Remote Learning at U.S. Universities. SOUPS @ USENIX Security Symposium (2021)
Arvind Narayanan
The Ethics of Datasets: Moving Forward Requires Stepping Back. AIES (2021)
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
A variegated look at 5G in the wild: performance, power, and QoE implications. SIGCOMM (2021)
Rob van Eijk, Hadi Asghari, Philipp Winter, Arvind Narayanan
The Impact of User Location on Cookie Notices (Inside and Outside of the European Union). CoRR (2021)
Ryan Amos, Gunes Acar, Elena Lucherini, Mihir Kshirsagar, Arvind Narayanan, Jonathan R. Mayer
Privacy Policies over Time: Curation and Analysis of a Million-Document Dataset. WWW (2021)
Gunes Acar, Steven Englehardt, Arvind Narayanan
No boundaries: data exfiltration by third parties embedded on web pages. Proc. Priv. Enhancing Technol. 2020 (4) (2020)
Shaanan Cohney, Ross Teixeira, Anne Kohlbrenner, Arvind Narayanan, Mihir Kshirsagar, Yan Shvartzshnaider, Madelyn Sanfilippo
Virtual Classrooms and Real Harms. CoRR (2020)
Angelina Wang, Arvind Narayanan, Olga Russakovsky
ViBE: A Tool for Measuring and Mitigating Bias in Image Datasets. CoRR (2020)
Peng Zheng, Wendi Feng, Arvind Narayanan, Zhi-Li Zhang
NFV Performance Profiling on Multi-core Servers. Networking (2020)
Arvind Narayanan, Eman Ramadan, Jacob Quant, Peiqi Ji, Feng Qian, Zhi-Li Zhang
5G tracker: a crowdsourced platform to enable research using commercial 5g services. SIGCOMM Posters and Demos (2020)
Kevin Lee, Benjamin Kaiser, Jonathan R. Mayer, Arvind Narayanan
An Empirical Study of Wireless Carrier Authentication for SIM Swaps. SOUPS @ USENIX Security Symposium (2020)
Arvind Narayanan, Arunesh Mathur, Marshini Chetty, Mihir Kshirsagar
Dark Patterns: Past, Present, and Future. ACM Queue 18 (2) (2020)
Harry A. Kalodner, Malte Möser, Kevin Lee, Steven Goldfeder, Martin Plattner, Alishah Chator, Arvind Narayanan
BlockSci: Design and applications of a blockchain analysis platform. USENIX Security Symposium (2020)
Ryan Amos, Gunes Acar, Elena Lucherini, Mihir Kshirsagar, Arvind Narayanan, Jonathan R. Mayer
Privacy Policies over Time: Curation and Analysis of a Million-Document Dataset. CoRR (2020)
Arvind Narayanan, Eman Ramadan, Jason Carpenter, Qingxu Liu, Yu Liu, Feng Qian, Zhi-Li Zhang
A First Look at Commercial 5G Performance on Smartphones. WWW (2020)
Arvind Narayanan, Arunesh Mathur, Marshini Chetty, Mihir Kshirsagar
Dark patterns: past, present, and future. Commun. ACM 63 (9) (2020)
Angelina Wang, Arvind Narayanan, Olga Russakovsky
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets. ECCV (3) (2020)
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
Lumos5G: Mapping and Predicting Commercial mmWave 5G Throughput. Internet Measurement Conference (2020)
Noah J. Apthorpe, Danny Yuxing Huang, Dillon Reisman, Arvind Narayanan, Nick Feamster
Keeping the Smart Home Private with Smart(er) IoT Traffic Shaping. Proc. Priv. Enhancing Technol. 2019 (3) (2019)
Peng Zheng, Arvind Narayanan, Zhi-Li Zhang
A Closer Look at NFV Execution Models. APNet (2019)
Peng Zheng, Arvind Narayanan, Zhi-Li Zhang
Towards a Scalable, Flexible and High Performance NFV Execution Model. CoNEXT Companion (2019)
Arunesh Mathur, Gunes Acar, Michael Friedman, Elena Lucherini, Jonathan R. Mayer, Marshini Chetty, Arvind Narayanan
Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites. CoRR (2019)
Arvind Narayanan, Jason Carpenter, Eman Ramadan, Qingxu Liu, Yu Liu, Feng Qian, Zhi-Li Zhang
A First Measurement Study of Commercial mmWave 5G Performance on Smartphones. CoRR (2019)
Hooman Mohajeri Moghaddam, Gunes Acar, Ben Burgess, Arunesh Mathur, Danny Yuxing Huang, Nick Feamster, Edward W. Felten, Prateek Mittal, Arvind Narayanan
Watching You Watch: The Tracking Ecosystem of Over-the-Top TV Streaming Devices. CCS (2019)
Arunesh Mathur, Gunes Acar, Michael Friedman, Elena Lucherini, Jonathan R. Mayer, Marshini Chetty, Arvind Narayanan
Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Jonah Brown-Cohen, Arvind Narayanan, Alexandros Psomas, S. Matthew Weinberg
Formal Barriers to Longest-Chain Proof-of-Stake Protocols. EC (2019)
Arvind Narayanan, Saurabh Verma, Zhi-Li Zhang
Mining latent patterns in geoMobile data via EPIC. World Wide Web 22 (6) (2019)
Steven Englehardt, Jeffrey Han, Arvind Narayanan
I never signed up for this! Privacy implications of email tracking. Proc. Priv. Enhancing Technol. 2018 (1) (2018)
Arvind Narayanan, Eman Ramadan, Zhi-Li Zhang
OpenCDN: An ICN-based open content distribution system using distributed actor model. INFOCOM Workshops (2018)
Steven Goldfeder, Harry A. Kalodner, Dillon Reisman, Arvind Narayanan
When the cookie meets the blockchain: Privacy risks of web payments via cryptocurrencies. Proc. Priv. Enhancing Technol. 2018 (4) (2018)
Arunesh Mathur, Arvind Narayanan, Marshini Chetty
Endorsements on Social Media: An Empirical Study of Affiliate Marketing Disclosures on YouTube and Pinterest. CoRR (2018)
Gunes Acar, Danny Yuxing Huang, Frank Li, Arvind Narayanan, Nick Feamster
Web-based Attacks to Discover and Control Local IoT Devices. IoT S&P@SIGCOMM (2018)
Arvind Narayanan, Saurabh Verma, Eman Ramadan, Pariya Babaie, Zhi-Li Zhang
Making content caching policies 'smart' using the deepcache framework. Comput. Commun. Rev. 48 (5) (2018)
Arvind Narayanan
Blockchains: Past, Present, and Future. PODS (2018)
Arvind Narayanan, Saurabh Verma, Eman Ramadan, Pariya Babaie, Zhi-Li Zhang
DeepCache: A Deep Learning Based Framework For Content Caching. NetAI@SIGCOMM (2018)
Aylin Caliskan, Fabian Yamaguchi, Edwin Dauber, Richard E. Harang, Konrad Rieck, Rachel Greenstadt, Arvind Narayanan
When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries. NDSS (2018)
Malte Möser, Kyle Soska, Ethan Heilman, Kevin Lee, Henry Heffan, Shashvat Srivastava, Kyle Hogan, Jason Hennessey, Andrew Miller, Arvind Narayanan, Nicolas Christin
An Empirical Analysis of Traceability in the Monero Blockchain. Proc. Priv. Enhancing Technol. 2018 (3) (2018)
Arunesh Mathur, Jessica Vitak, Arvind Narayanan, Marshini Chetty
Characterizing the Use of Browser-Based Blocking Extensions To Prevent Online Tracking. SOUPS @ USENIX Security Symposium (2018)
Noah J. Apthorpe, Danny Yuxing Huang, Dillon Reisman, Arvind Narayanan, Nick Feamster
Keeping the Smart Home Private with Smart(er) IoT Traffic Shaping. CoRR (2018)
Ian Lundberg, Arvind Narayanan, Karen Levy, Matthew J. Salganik
Privacy, ethics, and data access: A case study of the Fragile Families Challenge. CoRR (2018)
Arunesh Mathur, Arvind Narayanan, Marshini Chetty
Endorsements on Social Media: An Empirical Study of Affiliate Marketing Disclosures on YouTube and Pinterest. Proc. ACM Hum. Comput. Interact. 2 (CSCW) (2018)
Arunesh Mathur, Arvind Narayanan, Marshini Chetty
An Empirical Study of Affiliate Marketing Disclosures on YouTube and Pinterest. CoRR (2018)
Jonah Brown-Cohen, Arvind Narayanan, Christos-Alexandros Psomas, S. Matthew Weinberg
Formal Barriers to Longest-Chain Proof-of-Stake Protocols. CoRR (2018)
Saurabh Verma, Arvind Narayanan, Zhi-Li Zhang
Multi-low-rank Approximation for Traffic Matrices. ITC (2017)
Arvind Narayanan, Jeremy Clark
Bitcoin's Academic Pedigree. ACM Queue 15 (4) (2017)
Noah J. Apthorpe, Dillon Reisman, Srikanth Sundaresan, Arvind Narayanan, Nick Feamster
Spying on the Smart Home: Privacy Attacks and Defenses on Encrypted IoT Traffic. CoRR (2017)
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
Ten simple rules for responsible big data research. PLoS Comput. Biol. 13 (3) (2017)
Grant Storey, Dillon Reisman, Jonathan R. Mayer, Arvind Narayanan
The Future of Ad Blocking: An Analytical Framework and New Techniques. CoRR (2017)
Peter Bailis, Arvind Narayanan, Andrew Miller, Song Han
Research for practice: cryptocurrencies, blockchains, and smart contracts; hardware for deep learning. Commun. ACM 60 (5) (2017)
Steven Goldfeder, Harry A. Kalodner, Dillon Reisman, Arvind Narayanan
When the cookie meets the blockchain: Privacy risks of web payments via cryptocurrencies. CoRR (2017)
Arvind Narayanan, Jeremy Clark
Bitcoin's academic pedigree. Commun. ACM 60 (12) (2017)
Nataliia Bielova, Nikolaos Laoutaris, Arvind Narayanan, Nick Nikiforakis
Online Privacy and Web Transparency (Dagstuhl Seminar 17162). Dagstuhl Reports 7 (4) (2017)
Jessica Su, Ansh Shukla, Sharad Goel, Arvind Narayanan
De-anonymizing Web Browsing Data with Social Networks. WWW (2017)
Harry A. Kalodner, Steven Goldfeder, Alishah Chator, Malte Möser, Arvind Narayanan
BlockSci: Design and applications of a blockchain analysis platform. CoRR (2017)
Steven Goldfeder, Joseph Bonneau, Rosario Gennaro, Arvind Narayanan
Escrow Protocols for Cryptocurrencies: How to Buy Physical Goods Using Bitcoin. Financial Cryptography (2017)
Andrew Miller, Malte Möser, Kevin Lee, Arvind Narayanan
An Empirical Analysis of Linkability in the Monero Blockchain. CoRR (2017)
Eman Ramadan, Arvind Narayanan, Zhi-Li Zhang, Runhui Li, Gong Zhang
BIG Cache Abstraction for Cache Networks. ICDCS (2017)
Lukasz Olejnik, Steven Englehardt, Arvind Narayanan
Battery Status Not Included: Assessing Privacy in Web Standards. IWPE@SP (2017)
Arvind Narayanan, Malte Möser
Obfuscation in Bitcoin: Techniques and Politics. CoRR (2017)
Rosario Gennaro, Steven Goldfeder, Arvind Narayanan
Threshold-Optimal DSA/ECDSA Signatures and an Application to Bitcoin Wallet Security. ACNS (2016)
Peter Bailis, Arvind Narayanan, Andrew Miller, Song Han
Research for Practice: Cryptocurrencies, Blockchains, and Smart Contracts; Hardware for Deep Learning. ACM Queue 14 (6) (2016)
Ahmed Abdelhadi, Felipe Rechia, Arvind Narayanan, Thiago Teixeira, Ricardo Lent, Driss Benhaddou, Hyunwoo Lee, T. Charles Clancy
Position estimation of robotic mobile nodes in wireless testbed using GENI. SysCon (2016)
Rosario Gennaro, Steven Goldfeder, Arvind Narayanan
Threshold-optimal DSA/ECDSA signatures and an application to Bitcoin wallet security. IACR Cryptol. ePrint Arch. 2016 (2016)
Miles Carlsten, Harry A. Kalodner, S. Matthew Weinberg, Arvind Narayanan
On the Instability of Bitcoin Without the Block Reward. CCS (2016)
Aylin Caliskan Islam, Joanna J. Bryson, Arvind Narayanan
Semantics derived automatically from language corpora necessarily contain human biases. CoRR (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Arvind Narayanan