Routing Scheme for OBS Networks. - Subhrabrata Choudhury; Vivek Nair; Ashis Kumar Mal (JOCN, 2012)

An integrated routing and offset-time adaptation scheme for OBS network. - Subhrabrata Choudhury; Vivek Nair; Jaydeep Howlader; B. Choudhury; Ashis Kumar Mal (ICDCN, 2015)

An (Accidental) Exploration of Alternatives to Evolutionary Algorithms for SBSE. - Vivek Nair; Tim Menzies; Jianfeng Chen (SSBSE, 2016)

Is "Sampling" better than "Evolution" for Search-based Software Engineering? - Jianfeng Chen; Vivek Nair; Rahul Krishna; Tim Menzies (CoRR, 2016)

Why is Differential Evolution Better than Grid Search for Tuning Defect Predictors? - Wei Fu 002; Vivek Nair; Tim Menzies (CoRR, 2016)

Using bad learners to find good configurations. - Vivek Nair; Tim Menzies; Norbert Siegmund; Sven Apel (ESEC/SIGSOFT FSE, 2017)

FLASH: A Faster Optimizer for SBSE Tasks. - Vivek Nair; Zhe Yu 002; Tim Menzies (CoRR, 2017)

Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM. - Chin-Jung Hsu; Vivek Nair; Vincent W. Freeh; Tim Menzies (CoRR, 2017)

Micky: A Cheaper Alternative for Selecting Cloud Instances. - Chin-Jung Hsu; Vivek Nair; Tim Menzies; Vincent W. Freeh (IEEE CLOUD, 2018)

Arrow: Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM. - Chin-Jung Hsu; Vivek Nair; Vincent W. Freeh; Tim Menzies (ICDCS, 2018)

Data-driven search-based software engineering. - Vivek Nair; Amritanshu Agrawal; Jianfeng Chen; Wei Fu 002; George Mathew; Tim Menzies; Leandro L. Minku; Markus Wagner 007; Zhe Yu 002 (MSR, 2018)

Is one hyperparameter optimizer enough? - Huy Tu; Vivek Nair (SWAN@ESEC/SIGSOFT FSE, 2018)

Faster discovery of faster system configurations with spectral learning. - Vivek Nair; Tim Menzies; Norbert Siegmund; Sven Apel (Autom. Softw. Eng., 2018)

Scout: An Experienced Guide to Find the Best Cloud Configuration. - Chin-Jung Hsu; Vivek Nair; Tim Menzies; Vincent W. Freeh (CoRR, 2018)

Transfer Learning with Bellwethers to find Good Configurations. - Vivek Nair; Rahul Krishna; Tim Menzies; Pooyan Jamshidi (CoRR, 2018)

While Tuning is Good, No Tuner is Best. - Huy Tu; Vivek Nair (CoRR, 2018)

Beyond evolutionary algorithms for search-based software engineering. - Jianfeng Chen; Vivek Nair; Tim Menzies (Inf. Softw. Technol., 2018)

"Sampling" as a Baseline Optimizer for Search-Based Software Engineering. - Jianfeng Chen; Vivek Nair; Rahul Krishna; Tim Menzies (IEEE Trans. Software Eng., 2019)

Finding Faster Configurations Using FLASH. - Vivek Nair; Zhe Yu 002; Tim Menzies; Norbert Siegmund; Sven Apel (IEEE Trans. Software Eng., 2020)

Whence to Learn? Transferring Knowledge in Configurable Systems Using BEETLE. - Rahul Krishna; Vivek Nair; Pooyan Jamshidi; Tim Menzies (IEEE Trans. Software Eng., 2021)

Exploring the Unprecedented Privacy Risks of the Metaverse. - Vivek Nair; Gonzalo Munilla Garrido; Dawn Song (CoRR, 2022)

Multi-Factor Key Derivation Function (MFKDF). - Vivek Nair; Dawn Song (CoRR, 2022)

Going Incognito in the Metaverse. - Vivek Nair; Gonzalo Munilla Garrido; Dawn Song (CoRR, 2022)

Learning to Learn to Predict Performance Regressions in Production at Meta. - Moritz Beller; Hongyu Li; Vivek Nair; Vijayaraghavan Murali; Imad Ahmad; Jürgen Cito; Drew Carlson; Gareth Ari Aye; Wes Dyer (AST, 2023)

Multi-Factor Credential Hashing for Asymmetric Brute-Force Attack Resistance. - Vivek Nair; Dawn Song (EuroS&P, 2023)

Decentralizing Custodial Wallets with MFKDF. - Vivek Nair; Dawn Song (ICBC, 2023)

MEVade: An MEV-Resistant Blockchain Design. - Julien Piet; Vivek Nair; Sanjay Subramanian (ICBC, 2023)

Going Incognito in the Metaverse: Achieving Theoretically Optimal Privacy-Usability Tradeoffs in VR. - Vivek C. Nair; Gonzalo Munilla Garrido; Dawn Song (UIST, 2023)

Unique Identification of 50, 000+ Virtual Reality Users from Head & Hand Motion Data. - Vivek Nair; Wenbo Guo 002; Justus Mattern; Rui Wang 110; James F. O'Brien; Louis B. Rosenberg; Dawn Song (USENIX Security Symposium, 2023)

Multi-Factor Key Derivation Function (MFKDF) for Fast, Flexible, Secure, & Practical Key Management. - Vivek Nair; Dawn Song (USENIX Security Symposium, 2023)

Results of the 2023 Census of Beat Saber Users: Virtual Reality Gaming Population Insights and Factors Affecting Virtual Reality E-Sports Performance. - Vivek Nair; Viktor Radulov; James F. O'Brien (CoRR, 2023)

Inferring Private Personal Attributes of Virtual Reality Users from Head and Hand Motion Data. - Vivek Nair; Christian Rack; Wenbo Guo 002; Rui Wang 110; Shuixian Li; Brandon Huang; Atticus Cull; James F. O'Brien; Louis B. Rosenberg; Dawn Song (CoRR, 2023)

MFDPG: Multi-Factor Authenticated Password Management With Zero Stored Secrets. - Vivek Nair; Dawn Song (CoRR, 2023)

Berkeley Open Extended Reality Recordings 2023 (BOXRR-23): 4.7 Million Motion Capture Recordings from 105, 852 Extended Reality Device Users. - Vivek Nair; Wenbo Guo 002; Rui Wang 110; James F. O'Brien; Louis B. Rosenberg; Dawn Song (CoRR, 2023)

Deep Motion Masking for Secure, Usable, and Scalable Real-Time Anonymization of Virtual Reality Motion Data. - Vivek Nair; Wenbo Guo 002; James F. O'Brien; Louis B. Rosenberg; Dawn Song (CoRR, 2023)

The Unprecedented Risks and Opportunities of Extended Reality Motion Data - Vivek Nair (2023)

Exploring the Privacy Risks of Adversarial VR Game Design. - Vivek Nair; Gonzalo Munilla Garrido; Dawn Song; James F. O'Brien (Proc. Priv. Enhancing Technol., 2023)

"I Can't Believe It's Not Custodial!": Usable Trustless Decentralized Key Management. - Tanusree Sharma; Vivek C. Nair; Henry Wang; Yang Wang 005; Dawn Song (CHI, 2024)

Deep Motion Masking for Secure, Usable, and Scalable Real-Time Anonymization of Ecological Virtual Reality Motion Data. - Vivek Nair; Wenbo Guo 002; James F. O'Brien; Louis B. Rosenberg; Dawn Song (VR Workshops, 2024)

Inferring Private Personal Attributes of Virtual Reality Users from Ecologically Valid Head and Hand Motion Data. - Vivek Nair; Christian Rack; Wenbo Guo 002; Rui Wang 110; Shuixian Li; Brandon Huang; Atticus Cull; James F. O'Brien; Marc Erich Latoschik; Louis B. Rosenberg; Dawn Song (VR Workshops, 2024)

Navigating the Kinematic Maze: Analyzing, Standardizing and Unifying XR Motion Datasets. - Christian Rack; Vivek Nair; Lukas Schach; Felix Foschum; Marcel Roth; Marc Erich Latoschik (VR Workshops, 2024)

Truth in Motion: The Unprecedented Risks and Opportunities of Extended Reality Motion Data. - Vivek Nair; Louis B. Rosenberg; James F. O'Brien; Dawn Song (IEEE Secur. Priv., 2024)

SoK: Data Privacy in Virtual Reality. - Gonzalo Munilla Garrido; Vivek Nair; Dawn Song (Proc. Priv. Enhancing Technol., 2024)

Berkeley Open Extended Reality Recordings 2023 (BOXRR-23): 4.7 Million Motion Capture Recordings from 105,000 XR Users. - Vivek Nair; Wenbo Guo 002; Rui Wang 110; James F. O'Brien; Louis B. Rosenberg; Dawn Song (IEEE Trans. Vis. Comput. Graph., 2024)

Effect of Duration and Delay on the Identifiability of VR Motion. - Mark Roman Miller; Vivek Nair; Eugy Han; Cyan DeVeaux; Christian Rack; Rui Wang 110; Brandon Huang; Marc Erich Latoschik; James F. O'Brien; Jeremy N. Bailenson (WoWMoM, 2025)

Effect of Data Degradation on Motion Re-Identification. - Vivek Nair; Mark Roman Miller; Rui Wang 110; Brandon Huang; Christian Rack; Marc Erich Latoschik; James F. O'Brien (WoWMoM, 2025)