Publications (32)
Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM
Chin-Jung Hsu, Vivek Nair, Vincent W. Freeh +1
Scout: An Experienced Guide to Find the Best Cloud Configuration
Chin-Jung Hsu, Vivek Nair, Tim Menzies +1
Data-Driven Search-based Software Engineering
Vivek Nair, Amritanshu Agrawal, Jianfeng Chen +6
Transfer Learning with Bellwethers to find Good Configurations
Vivek Nair, Rahul Krishna, Tim Menzies +1
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, Rui Wang +3
"Sampling"' as a Baseline Optimizer for Search-based Software Engineering
Jianfeng Chen, Vivek Nair, Rahul Krishna +1
MFDPG: Multi-Factor Authenticated Password Management With Zero Stored Secrets
Vivek Nair, Dawn Song
Micky: A Cheaper Alternative for Selecting Cloud Instances
Chin-Jung Hsu, Vivek Nair, Tim Menzies +1
Multi-Factor Credential Hashing for Asymmetric Brute-Force Attack Resistance
Vivek Nair, Dawn Song
Unique Identification of 50,000+ Virtual Reality Users from Head & Hand Motion Data
Vivek Nair, Wenbo Guo, Justus Mattern +4
Effect of Data Degradation on Motion Re-Identification
Vivek Nair, Mark Roman Miller, Rui Wang +4
Whence to Learn? Transferring Knowledge in Configurable Systems using BEETLE
Rahul Krishna, Vivek Nair, Pooyan Jamshidi +1
Learning to Learn to Predict Performance Regressions in Production at Meta
Moritz Beller, Hongyu Li, Vivek Nair +6
Beyond Evolutionary Algorithms for Search-based Software Engineering
Jianfeng Chen, Vivek Nair, Tim Menzies
Decentralizing Custodial Wallets with MFKDF
Vivek Nair, Dawn Song
Inferring Private Personal Attributes of Virtual Reality Users from Head and Hand Motion Data
Vivek Nair, Christian Rack, Wenbo Guo +8
Exploring the Privacy Risks of Adversarial VR Game Design
Vivek Nair, Gonzalo Munilla Garrido, Dawn Song +1
Finding Faster Configurations using FLASH
Vivek Nair, Zhe Yu, Tim Menzies +2
Faster Discovery of Faster System Configurations with Spectral Learning
Vivek Nair, Tim Menzies, Norbert Siegmund +1
Truth in Motion: The Unprecedented Risks and Opportunities of Extended Reality Motion Data
Vivek Nair, Louis Rosenberg, James F. O'Brien +1
Going Incognito in the Metaverse: Achieving Theoretically Optimal Privacy-Usability Tradeoffs in VR
Vivek Nair, Gonzalo Munilla Garrido, Dawn Song
Deep Motion Masking for Secure, Usable, and Scalable Real-Time Anonymization of Virtual Reality Motion Data
Vivek Nair, Wenbo Guo, James F. O'Brien +2
Wrangling Entropy: Next-Generation Multi-Factor Key Derivation, Credential Hashing, and Credential Generation Functions
Colin Roberts, Vivek Nair, Dawn Song
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
FLASH: A Faster Optimizer for SBSE Tasks
Vivek Nair, Zhe Yu, Tim Menzies
Is One Hyperparameter Optimizer Enough?
Huy Tu, Vivek Nair
Multi-Factor Key Derivation Function (MFKDF) for Fast, Flexible, Secure, & Practical Key Management
Vivek Nair, Dawn Song
Effect of Duration and Delay on the Identifiability of VR Motion
Mark Roman Miller, Vivek Nair, Eugy Han +7
SoK: Data Privacy in Virtual Reality
Gonzalo Munilla Garrido, Vivek Nair, Dawn Song
High capacity NbS2-based anodes for Li-ion batteries
Alexandra Carvalho, Vivek Nair, Sergio G. Echeverrigaray +1
Using Bad Learners to find Good Configurations
Vivek Nair, Tim Menzies, Norbert Siegmund +1
Why is Differential Evolution Better than Grid Search for Tuning Defect Predictors?
Wei Fu, Vivek Nair, Tim Menzies