Practical Pay TV Schemes. - Arvind Narayanan; C. Pandu Rangan; Kwangjo Kim (ACISP, 2003)

On the Power of Computational Secret Sharing. - Vinod Vaikuntanathan; Arvind Narayanan; K. Srinathan 001; C. Pandu Rangan; Kwangjo Kim (INDOCRYPT, 2003)

Optimal Perfectly Secure Message Transmission. - K. Srinathan 001; Arvind Narayanan; C. Pandu Rangan (CRYPTO, 2004)

Obfuscated databases and group privacy. - Arvind Narayanan; Vitaly Shmatikov (CCS, 2005)

Fast dictionary attacks on passwords using time-space tradeoff. - Arvind Narayanan; Vitaly Shmatikov (CCS, 2005)

How To Break Anonymity of the Netflix Prize Dataset - Arvind Narayanan; Vitaly Shmatikov (CoRR, 2006)

On the Limits of Point Function Obfuscation. - Arvind Narayanan; Vitaly Shmatikov (IACR Cryptol. ePrint Arch., 2006)

Perfectly Reliable Message Transmission. - Arvind Narayanan; K. Srinathan 001; C. Pandu Rangan (Inf. Process. Lett., 2006)

Robust De-anonymization of Large Sparse Datasets. - Arvind Narayanan; Vitaly Shmatikov (SP, 2008)

De-anonymizing Social Networks. - Arvind Narayanan; Vitaly Shmatikov (SP, 2009)

Adnostic: Privacy Preserving Targeted Advertising. - Vincent Toubiana; Arvind Narayanan; Dan Boneh; Helen Nissenbaum; Solon Barocas (NDSS, 2010)

Myths and fallacies of "personally identifiable information". - Arvind Narayanan; Vitaly Shmatikov (Commun. ACM, 2010)

Link prediction by de-anonymization: How We Won the Kaggle Social Network Challenge. - Arvind Narayanan; Elaine Shi; Benjamin I. P. Rubinstein (IJCNN, 2011)

Location Privacy via Private Proximity Testing. - Arvind Narayanan; Narendran Thiagarajan; Mugdha Lakhani; Michael Hamburg; Dan Boneh (NDSS, 2011)

"You Might Also Like: " Privacy Risks of Collaborative Filtering. - Joseph A. Calandrino; Ann Kilzer; Arvind Narayanan; Edward W. Felten; Vitaly Shmatikov (IEEE Symposium on Security and Privacy, 2011)

On the Feasibility of Internet-Scale Author Identification. - Arvind Narayanan; Hristo S. Paskov; Neil Zhenqiang Gong; John Bethencourt; Emil Stefanov; Eui Chul Richard Shin; Dawn Song (IEEE Symposium on Security and Privacy, 2012)

A Critical Look at Decentralized Personal Data Architectures - Arvind Narayanan; Vincent Toubiana; Solon Barocas; Helen Nissenbaum; Dan Boneh (CoRR, 2012)

33 Bits of Entropy: Myths and Fallacies of "Personally Identifiable Information". - Arvind Narayanan (Adv. Math. Commun., 2012)

A Scanner Darkly: Protecting User Privacy from Perceptual Applications. - Suman Jana; Arvind Narayanan; Vitaly Shmatikov (IEEE Symposium on Security and Privacy, 2013)

Routes for breaching and protecting genetic privacy. - Yaniv Erlich; Arvind Narayanan (CoRR, 2013)

What Happened to the Crypto Dream?, Part 1. - Arvind Narayanan (IEEE Secur. Priv., 2013)

What Happened to the Crypto Dream?, Part 2. - Arvind Narayanan (IEEE Secur. Priv., 2013)

The Web Never Forgets: Persistent Tracking Mechanisms in the Wild. - Gunes Acar; Christian Eubank; Steven Englehardt; Marc Juarez; Arvind Narayanan; Claudia Díaz (CCS, 2014)

Why software engineering courses should include ethics coverage. - Arvind Narayanan; Shannon Vallor (Commun. ACM, 2014)

Mixcoin: Anonymity for Bitcoin with accountable mixes. - Joseph Bonneau; Arvind Narayanan; Andrew Miller 001; Jeremy Clark; Joshua A. Kroll; Edward W. Felten (IACR Cryptol. ePrint Arch., 2014)

CONIA: Content (provider)-oriented, namespace-independent architecture for multimedia information delivery. - Eman Ramadan; Arvind Narayanan; Zhi-Li Zhang (ICME Workshops, 2015)

SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies. - Joseph Bonneau; Andrew Miller 001; Jeremy Clark; Arvind Narayanan; Joshua A. Kroll; Edward W. Felten (IEEE Symposium on Security and Privacy, 2015)

De-anonymizing Programmers via Code Stylometry. - Aylin Caliskan Islam; Richard E. Harang; Andrew Liu; Arvind Narayanan; Clare R. Voss; Fabian Yamaguchi; Rachel Greenstadt (USENIX Security Symposium, 2015)

An Empirical Study of Namecoin and Lessons for Decentralized Namespace Design. - Harry A. Kalodner; Miles Carlsten; Paul M. Ellenbogen; Joseph Bonneau; Arvind Narayanan (WEIS, 2015)

Cookies That Give You Away: The Surveillance Implications of Web Tracking. - Steven Englehardt; Dillon Reisman; Christian Eubank; Peter Zimmerman; Jonathan R. Mayer; Arvind Narayanan; Edward W. Felten (WWW, 2015)

Research Perspectives and Challenges for Bitcoin and Cryptocurrencies. - Joseph Bonneau; Andrew Miller 001; Jeremy Clark; Arvind Narayanan; Joshua A. Kroll; Edward W. Felten (IACR Cryptol. ePrint Arch., 2015)

Bitcoin and Cryptocurrency Technologies - A Comprehensive Introduction. - Arvind Narayanan; Joseph Bonneau; Edward W. Felten; Andrew Miller 001; Steven Goldfeder (Princeton University Press, 2016)

On the Instability of Bitcoin Without the Block Reward. - Miles Carlsten; Harry A. Kalodner; S. Matthew Weinberg; Arvind Narayanan (CCS, 2016)

Online Tracking: A 1-million-site Measurement and Analysis. - Steven Englehardt; Arvind Narayanan (CCS, 2016)

Most Calls Are Local (But Some Are Regional): Dissecting Cellular Communication Patterns. - Arvind Narayanan; Saurabh Verma; Zhi-Li Zhang (GLOBECOM, 2016)

Mining Spatial-Temporal geoMobile Data via Feature Distributional Similarity Graph. - Arvind Narayanan; Saurabh Verma; Zhi-Li Zhang (MobiData@MobiSys, 2016)

Position estimation of robotic mobile nodes in wireless testbed using GENI. - Ahmed Abdelhadi; Felipe Rechia; Arvind Narayanan; Thiago Teixeira; Ricardo Lent; Driss Benhaddou; Hyunwoo Lee 001; T. Charles Clancy (SysCon, 2016)

Semantics derived automatically from language corpora necessarily contain human biases. - Aylin Caliskan Islam; Joanna J. Bryson; Arvind Narayanan (CoRR, 2016)

Threshold-optimal DSA/ECDSA signatures and an application to Bitcoin wallet security. - Rosario Gennaro; Steven Goldfeder; Arvind Narayanan (IACR Cryptol. ePrint Arch., 2016)

Research for Practice: Cryptocurrencies, Blockchains, and Smart Contracts; Hardware for Deep Learning. - Peter Bailis; Arvind Narayanan; Andrew Miller 001; Song Han 003 (ACM Queue, 2016)

Escrow Protocols for Cryptocurrencies: How to Buy Physical Goods Using Bitcoin. - Steven Goldfeder; Joseph Bonneau; Rosario Gennaro; Arvind Narayanan (Financial Cryptography, 2017)

BIG Cache Abstraction for Cache Networks. - Eman Ramadan; Arvind Narayanan; Zhi-Li Zhang; Runhui Li; Gong Zhang (ICDCS, 2017)

Battery Status Not Included: Assessing Privacy in Web Standards. - Lukasz Olejnik; Steven Englehardt; Arvind Narayanan (IWPE@SP, 2017)

Multi-low-rank Approximation for Traffic Matrices. - Saurabh Verma; Arvind Narayanan; Zhi-Li Zhang (ITC, 2017)

De-anonymizing Web Browsing Data with Social Networks. - Jessica Su; Ansh Shukla; Sharad Goel; Arvind Narayanan (WWW, 2017)

An Empirical Analysis of Linkability in the Monero Blockchain. - Andrew Miller 001; Malte Möser; Kevin Lee; Arvind Narayanan (CoRR, 2017)

Obfuscation in Bitcoin: Techniques and Politics. - Arvind Narayanan; Malte Möser (CoRR, 2017)

The Future of Ad Blocking: An Analytical Framework and New Techniques. - Grant Storey; Dillon Reisman; Jonathan R. Mayer; Arvind Narayanan (CoRR, 2017)

Spying on the Smart Home: Privacy Attacks and Defenses on Encrypted IoT Traffic. - Noah J. Apthorpe; Dillon Reisman; Srikanth Sundaresan; Arvind Narayanan; Nick Feamster (CoRR, 2017)

BlockSci: Design and applications of a blockchain analysis platform. - Harry A. Kalodner; Steven Goldfeder; Alishah Chator; Malte Möser; Arvind Narayanan (CoRR, 2017)

Online Privacy and Web Transparency (Dagstuhl Seminar 17162). - Nataliia Bielova; Nikolaos Laoutaris; Arvind Narayanan; Nick Nikiforakis (Dagstuhl Reports, 2017)

Ten simple rules for responsible big data research. - Matthew Zook; Solon Barocas; danah boyd; Kate Crawford 002; Emily Keller; Seeta Peña Gangadharan; Alyssa Goodman; Rachelle Hollander; Barbara König 002; Jacob Metcalf; Arvind Narayanan; Alondra Nelson; et al. (PLoS Comput. Biol., 2017)

Bitcoin's Academic Pedigree. - Arvind Narayanan; Jeremy Clark (ACM Queue, 2017)

OpenCDN: An ICN-based open content distribution system using distributed actor model. - Arvind Narayanan; Eman Ramadan; Zhi-Li Zhang (INFOCOM Workshops, 2018)

When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries. - Aylin Caliskan; Fabian Yamaguchi; Edwin Dauber; Richard E. Harang; Konrad Rieck; Rachel Greenstadt; Arvind Narayanan (NDSS, 2018)

Blockchains: Past, Present, and Future. - Arvind Narayanan (PODS, 2018)

Web-based Attacks to Discover and Control Local IoT Devices. - Gunes Acar; Danny Yuxing Huang; Frank Li 001; Arvind Narayanan; Nick Feamster (IoT S&P@SIGCOMM, 2018)

DeepCache: A Deep Learning Based Framework For Content Caching. - Arvind Narayanan; Saurabh Verma; Eman Ramadan; Pariya Babaie; Zhi-Li Zhang (NetAI@SIGCOMM, 2018)

Characterizing the Use of Browser-Based Blocking Extensions To Prevent Online Tracking. - Arunesh Mathur; Jessica Vitak; Arvind Narayanan; Marshini Chetty (SOUPS @ USENIX Security Symposium, 2018)

Making content caching policies 'smart' using the deepcache framework. - Arvind Narayanan; Saurabh Verma; Eman Ramadan; Pariya Babaie; Zhi-Li Zhang (Comput. Commun. Rev., 2018)

An Empirical Study of Affiliate Marketing Disclosures on YouTube and Pinterest. - Arunesh Mathur; Arvind Narayanan; Marshini Chetty (CoRR, 2018)

Privacy, ethics, and data access: A case study of the Fragile Families Challenge. - Ian Lundberg; Arvind Narayanan; Karen Levy; Matthew J. Salganik (CoRR, 2018)

Endorsements on Social Media: An Empirical Study of Affiliate Marketing Disclosures on YouTube and Pinterest. - Arunesh Mathur; Arvind Narayanan; Marshini Chetty (Proc. ACM Hum. Comput. Interact., 2018)

I never signed up for this! Privacy implications of email tracking. - Steven Englehardt; Jeffrey Han; Arvind Narayanan (Proc. Priv. Enhancing Technol., 2018)

When the cookie meets the blockchain: Privacy risks of web payments via cryptocurrencies. - Steven Goldfeder; Harry A. Kalodner; Dillon Reisman; Arvind Narayanan (Proc. Priv. Enhancing Technol., 2018)

An Empirical Analysis of Traceability in the Monero Blockchain. - Malte Möser; Kyle Soska; Ethan Heilman; Kevin Lee; Henry Heffan; Shashvat Srivastava; Kyle Hogan; Jason Hennessey; Andrew Miller 001; Arvind Narayanan; Nicolas Christin (Proc. Priv. Enhancing Technol., 2018)

A Closer Look at NFV Execution Models. - Peng Zheng; Arvind Narayanan; Zhi-Li Zhang (APNet, 2019)

Watching You Watch: The Tracking Ecosystem of Over-the-Top TV Streaming Devices. - Hooman Mohajeri Moghaddam; Gunes Acar; Ben Burgess; Arunesh Mathur; Danny Yuxing Huang; Nick Feamster; Edward W. Felten; Prateek Mittal; Arvind Narayanan (CCS, 2019)

Towards a Scalable, Flexible and High Performance NFV Execution Model. - Peng Zheng; Arvind Narayanan; Zhi-Li Zhang (CoNEXT Companion, 2019)

Formal Barriers to Longest-Chain Proof-of-Stake Protocols. - Jonah Brown-Cohen; Arvind Narayanan; Alexandros Psomas 001; S. Matthew Weinberg (EC, 2019)

A First Measurement Study of Commercial mmWave 5G Performance on Smartphones. - Arvind Narayanan; Jason Carpenter; Eman Ramadan; Qingxu Liu; Yu Liu 096; Feng Qian 001; Zhi-Li Zhang (CoRR, 2019)

Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites. - Arunesh Mathur; Gunes Acar; Michael Friedman; Elena Lucherini; Jonathan R. Mayer; Marshini Chetty; Arvind Narayanan (Proc. ACM Hum. Comput. Interact., 2019)

Keeping the Smart Home Private with Smart(er) IoT Traffic Shaping. - Noah J. Apthorpe; Danny Yuxing Huang; Dillon Reisman; Arvind Narayanan; Nick Feamster (Proc. Priv. Enhancing Technol., 2019)

Mining latent patterns in geoMobile data via EPIC. - Arvind Narayanan; Saurabh Verma; Zhi-Li Zhang (World Wide Web, 2019)

REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets. - Angelina Wang; Arvind Narayanan; Olga Russakovsky (ECCV (3), 2020)

Lumos5G: Mapping and Predicting Commercial mmWave 5G Throughput. - 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 001; Zhi-Li Zhang (Internet Measurement Conference, 2020)

NFV Performance Profiling on Multi-core Servers. - Peng Zheng; Wendi Feng; Arvind Narayanan; Zhi-Li Zhang (Networking, 2020)

5G tracker: a crowdsourced platform to enable research using commercial 5g services. - Arvind Narayanan; Eman Ramadan; Jacob Quant; Peiqi Ji; Feng Qian 001; Zhi-Li Zhang (SIGCOMM Posters and Demos, 2020)

An Empirical Study of Wireless Carrier Authentication for SIM Swaps. - Kevin Lee; Benjamin Kaiser; Jonathan R. Mayer; Arvind Narayanan (SOUPS @ USENIX Security Symposium, 2020)

BlockSci: Design and applications of a blockchain analysis platform. - Harry A. Kalodner; Malte Möser; Kevin Lee; Steven Goldfeder; Martin Plattner; Alishah Chator; Arvind Narayanan (USENIX Security Symposium, 2020)

A First Look at Commercial 5G Performance on Smartphones. - Arvind Narayanan; Eman Ramadan; Jason Carpenter; Qingxu Liu; Yu Liu 096; Feng Qian 001; Zhi-Li Zhang (WWW, 2020)

ViBE: A Tool for Measuring and Mitigating Bias in Image Datasets. - Angelina Wang; Arvind Narayanan; Olga Russakovsky (CoRR, 2020)

Virtual Classrooms and Real Harms. - Shaanan Cohney; Ross Teixeira; Anne Kohlbrenner; Arvind Narayanan; Mihir Kshirsagar; Yan Shvartzshnaider; Madelyn Sanfilippo (CoRR, 2020)

No boundaries: data exfiltration by third parties embedded on web pages. - Gunes Acar; Steven Englehardt; Arvind Narayanan (Proc. Priv. Enhancing Technol., 2020)

Dark Patterns: Past, Present, and Future. - Arvind Narayanan; Arunesh Mathur; Marshini Chetty; Mihir Kshirsagar (ACM Queue, 2020)

The Ethics of Datasets: Moving Forward Requires Stepping Back. - Arvind Narayanan (AIES, 2021)

Security and Privacy Risks of Number Recycling at Mobile Carriers in the United States. - Kevin Lee; Arvind Narayanan (eCrime, 2021)

Mitigating dataset harms requires stewardship: Lessons from 1000 papers. - Kenneth Peng; Arunesh Mathur; Arvind Narayanan (NeurIPS Datasets and Benchmarks, 2021)

A variegated look at 5G in the wild: performance, power, and QoE implications. - Arvind Narayanan; Xumiao Zhang; Ruiyang Zhu; Ahmad Hassan; Shuowei Jin; Xiao Zhu 001; Xiaoxuan Zhang; Denis Rybkin; Zhengxuan Yang; Zhuoqing Morley Mao; Feng Qian 001; Zhi-Li Zhang (SIGCOMM, 2021)

Case for 5G-aware video streaming applications. - Eman Ramadan; Arvind Narayanan; Udhaya Kumar Dayalan; Rostand A. K. Fezeu; Feng Qian 001; Zhi-Li Zhang (5G-MeMZ@SIGCOMM, 2021)

Virtual Classrooms and Real Harms: Remote Learning at U.S. Universities. - Shaanan Cohney; Ross Teixeira; Anne Kohlbrenner; Arvind Narayanan; Mihir Kshirsagar; Yan Shvartzshnaider; Madelyn Sanfilippo (SOUPS @ USENIX Security Symposium, 2021)

Privacy Policies over Time: Curation and Analysis of a Million-Document Dataset. - Ryan Amos; Gunes Acar; Elena Lucherini; Mihir Kshirsagar; Arvind Narayanan; Jonathan R. Mayer (WWW, 2021)

T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems. - Eli Lucherini; Matthew Sun; Amy A. Winecoff; Arvind Narayanan (CoRR, 2021)

Simulation as Experiment: An Empirical Critique of Simulation Research on Recommender Systems. - Amy A. Winecoff; Matthew Sun; Eli Lucherini; Arvind Narayanan (CoRR, 2021)

The Impact of User Location on Cookie Notices (Inside and Outside of the European Union). - Rob van Eijk; Hadi Asghari; Philipp Winter; Arvind Narayanan (CoRR, 2021)

The Worst of Both Worlds: A Comparative Analysis of Errors in Learning from Data in Psychology and Machine Learning. - Jessica Hullman; Sayash Kapoor; Priyanka Nanayakkara; Andrew Gelman; Arvind Narayanan (AIES, 2022)

How Algorithms Shape the Distribution of Political Advertising: Case Studies of Facebook, Google, and TikTok. - Orestis Papakyriakopoulos; Christelle Tessono; Arvind Narayanan; Mihir Kshirsagar (AIES, 2022)

Resurrecting Address Clustering in Bitcoin. - Malte Möser; Arvind Narayanan (Financial Cryptography, 2022)

A Comparative Measurement Study of Commercial 5G mmWave Deployments. - Arvind Narayanan; Muhammad Iqbal Rochman; Ahmad Hassan; Bariq S. Firmansyah; Vanlin Sathya; Monisha Ghosh; Feng Qian 001; Zhi-Li Zhang (INFOCOM, 2022)

Vues: practical mobile volumetric video streaming through multiview transcoding. - Yu Liu 096; Bo Han 001; Feng Qian 001; Arvind Narayanan; Zhi-Li Zhang (MobiCom, 2022)

Vivisecting mobility management in 5G cellular networks. - Ahmad Hassan; Arvind Narayanan; Anlan Zhang; Wei Ye 009; Ruiyang Zhu; Shuowei Jin; Jason Carpenter; Z. Morley Mao; Feng Qian 001; Zhi-Li Zhang (SIGCOMM, 2022)

Password policies of most top websites fail to follow best practices. - Kevin Lee; Sten Sjöberg; Arvind Narayanan (SOUPS @ USENIX Security Symposium, 2022)

Leakage and the Reproducibility Crisis in ML-based Science. - Sayash Kapoor; Arvind Narayanan (CoRR, 2022)

REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets. - Angelina Wang; Alexander Liu; Ryan Zhang; Anat Kleiman; Leslie Kim; Dora Zhao; Iroha Shirai; Arvind Narayanan; Olga Russakovsky (Int. J. Comput. Vis., 2022)

GranularNF: Granular Decomposition of Stateful NFV at 100 Gbps Line Speed and Beyond. - Ziyan Wu 002; Tianming Cui; Arvind Narayanan; Yang Zhang 074; Kangjie Lu; Antonia Zhai; Zhi-Li Zhang (SIGMETRICS Perform. Evaluation Rev., 2022)

Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy. - Angelina Wang; Sayash Kapoor; Solon Barocas; Arvind Narayanan (FAccT, 2023)

An In-Depth Measurement Analysis of 5G mmWave PHY Latency and Its Impact on End-to-End Delay. - Rostand A. K. Fezeu; Eman Ramadan; Wei Ye 009; Benjamin Minneci; Jack Xie; Arvind Narayanan; Ahmad Hassan; Feng Qian 001; Zhi-Li Zhang; Jaideep Chandrashekar; Myungjin Lee (PAM, 2023)

A semi-automatic method for document classification in the shipping industry. - Arvind Narayanan (CoRR, 2023)

REFORMS: Reporting Standards for Machine Learning Based Science. - 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; et al. (CoRR, 2023)

Security Policy Audits: Why and How. - Arvind Narayanan; Kevin Lee (IEEE Secur. Priv., 2023)

Manipulative tactics are the norm in political emails: Evidence from 300K emails from the 2020 US election cycle. - Arunesh Mathur; Angelina Wang; Carsten Schwemmer; Maia Hamin; Brandon M. Stewart; Arvind Narayanan (Big Data Soc., 2023)

Leakage and the reproducibility crisis in machine-learning-based science. - Sayash Kapoor; Arvind Narayanan (Patterns, 2023)

Foundation Model Transparency Reports. - Rishi Bommasani; Kevin Klyman; Shayne Longpre; Betty Xiong; Sayash Kapoor; Nestor Maslej; Arvind Narayanan; Percy Liang (AIES (1), 2024)

Position: On the Societal Impact of Open Foundation Models. - 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; et al. (ICML, 2024)

Position: A Safe Harbor for AI Evaluation and Red Teaming. - Shayne Longpre; Sayash Kapoor; Kevin Klyman; Ashwin Ramaswami; Rishi Bommasani; Borhane Blili-Hamelin; Yangsibo Huang; Aviya Skowron; Zheng Xin Yong; Suhas Kotha; Yi Zeng 005; Weiyan Shi; et al. (ICML, 2024)

Promises and pitfalls of artificial intelligence for legal applications. - Sayash Kapoor; Peter Henderson 002; Arvind Narayanan (CoRR, 2024)

A Safe Harbor for AI Evaluation and Red Teaming. - Shayne Longpre; Sayash Kapoor; Kevin Klyman; Ashwin Ramaswami; Rishi Bommasani; Borhane Blili-Hamelin; Yangsibo Huang; Aviya Skowron; Zheng Xin Yong; Suhas Kotha; Yi Zeng 005; Weiyan Shi; et al. (CoRR, 2024)

On the Societal Impact of Open Foundation Models. - 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; et al. (CoRR, 2024)

AI Risk Management Should Incorporate Both Safety and Security. - Xiangyu Qi; Yangsibo Huang; Yi Zeng 005; Edoardo Debenedetti; Jonas Geiping; Luxi He; Kaixuan Huang; Udari Madhushani; Vikash Sehwag; Weijia Shi; Boyi Wei; Tinghao Xie; et al. (CoRR, 2024)

CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark. - Zachary S. Siegel; Sayash Kapoor; Nitya Nagdir; Benedikt Stroebl; Arvind Narayanan (CoRR, 2024)

Inference Scaling fLaws: The Limits of LLM Resampling with Imperfect Verifiers. - Benedikt Stroebl; Sayash Kapoor; Arvind Narayanan (CoRR, 2024)

International Scientific Report on the Safety of Advanced AI (Interim Report). - Yoshua Bengio; Sören Mindermann; Daniel Privitera; Tamay Besiroglu; Rishi Bommasani; Stephen Casper; Yejin Choi 001; Danielle Goldfarb; Hoda Heidari; Leila Khalatbari; Shayne Longpre; Vasilios Mavroudis; et al. (CoRR, 2024)

Special Issue on 6G Technologies and Applications. - Arvind Narayanan; Mahesh K. Marina; Vijay Gopalakrishnan (IEEE Internet Comput., 2024)

The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources. - Shayne Longpre; Stella Biderman; Alon Albalak; Hailey Schoelkopf; Daniel McDuff; Sayash Kapoor; Kevin Klyman; Kyle Lo; Gabriel Ilharco; Nay San; Maribeth Rauh; Aviya Skowron; et al. (Trans. Mach. Learn. Res., 2024)

CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark. - Zachary S. Siegel; Sayash Kapoor; Nitya Nadgir; Benedikt Stroebl; Arvind Narayanan (Trans. Mach. Learn. Res., 2024)

Hindsight Merging: Diverse Data Generation with Language Models. - Veniamin Veselovsky; Benedikt Stroebl; Gianluca M. Bencomo; Dilip Arumugam; Lisa Schut; Arvind Narayanan; Thomas L. Griffiths 001 (UAI, 2025)

AI Agents That Matter. - Sayash Kapoor; Benedikt Stroebl; Zachary S. Siegel; Nitya Nadgir; Arvind Narayanan (Trans. Mach. Learn. Res., 2025)

International AI Safety Report. - Yoshua Bengio; Sören Mindermann; Daniel Privitera; Tamay Besiroglu; Rishi Bommasani; Stephen Casper; Yejin Choi 001; Philip Fox; Ben Garfinkel; Danielle Goldfarb; Hoda Heidari; Anson Ho; et al. (CoRR, 2025)

In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI. - 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; et al. (CoRR, 2025)

Localized Cultural Knowledge is Conserved and Controllable in Large Language Models. - Veniamin Veselovsky; Berke Argin; Benedikt Stroebl; Chris Wendler; Robert West 001; James Evans; Thomas L. Griffiths 001; Arvind Narayanan (CoRR, 2025)

Moving towards informative and actionable social media research. - Joseph B. Bak-Coleman; Stephan Lewandowsky; Philipp Lorenz-Spreen; Arvind Narayanan; Amy Orben; Lisa Oswald (CoRR, 2025)

Bridging Prediction and Intervention Problems in Social Systems. - 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; et al. (CoRR, 2025)

Advancing Science- and Evidence-based AI Policy. - Rishi Bommasani; Sanjeev Arora; Jennifer T. Chayes; Yejin Choi 001; Mariano-Florentino Cuellar; Li Fei-Fei 001; Daniel E. Ho; Dan Jurafsky; Sanmi Koyejo; Hima Lakkaraju; Arvind Narayanan; Alondra Nelson; et al. (CoRR, 2025)