Vivek Nair - RankMe

60 papers A* 2A 3B 1C 5Misc 1Journal 41Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Effect of Data Degradation on Motion Re-Identification. WoWMoM Vivek Nair, Mark Roman Miller, Rui Wang, Brandon Huang, Christian Rack, Marc Erich Latoschik, James F. O'Brien
2025	C	`conf`	Effect of Duration and Delay on the Identifiability of VR Motion. WoWMoM Mark Roman Miller, Vivek Nair, Eugy Han, Cyan DeVeaux, Christian Rack, Rui Wang, Brandon Huang, Marc Erich Latoschik, James F. O'Brien, Jeremy N. Bailenson
2025	J	`jnl`	Wrangling Entropy: Next-Generation Multi-Factor Key Derivation, Credential Hashing, and Credential Generation Functions. CoRR Colin Roberts, Vivek Nair, Dawn Song
2024	J	`jnl`	Berkeley Open Extended Reality Recordings 2023 (BOXRR-23): 4.7 Million Motion Capture Recordings from 105,000 XR Users. IEEE Trans. Vis. Comput. Graph. Vivek Nair, Wenbo Guo, Rui Wang, James F. O'Brien, Louis B. Rosenberg, Dawn Song
2024	—	`conf`	Deep Motion Masking for Secure, Usable, and Scalable Real-Time Anonymization of Ecological Virtual Reality Motion Data. VR Workshops Vivek Nair, Wenbo Guo, James F. O'Brien, Louis B. Rosenberg, Dawn Song
2024	J	`jnl`	Effect of Data Degradation on Motion Re-Identification. CoRR Vivek Nair, Mark Roman Miller, Rui Wang, Brandon Huang, Christian Rack, Marc Erich Latoschik, James F. O'Brien
2024	J	`jnl`	Effect of Duration and Delay on the Identifiability of VR Motion. CoRR Mark Roman Miller, Vivek Nair, Eugy Han, Cyan DeVeaux, Christian Rack, Rui Wang, Brandon Huang, Marc Erich Latoschik, James F. O'Brien, Jeremy N. Bailenson
2024	—	`conf`	Inferring Private Personal Attributes of Virtual Reality Users from Ecologically Valid Head and Hand Motion Data. VR Workshops Vivek Nair, Christian Rack, Wenbo Guo, Rui Wang, Shuixian Li, Brandon Huang, Atticus Cull, James F. O'Brien, Marc Erich Latoschik, Louis B. Rosenberg, Dawn Song
2024	—	`conf`	Navigating the Kinematic Maze: Analyzing, Standardizing and Unifying XR Motion Datasets. VR Workshops Christian Rack, Vivek Nair, Lukas Schach, Felix Foschum, Marcel Roth, Marc Erich Latoschik
2024	J	`jnl`	SoK: Data Privacy in Virtual Reality. Proc. Priv. Enhancing Technol. Gonzalo Munilla Garrido, Vivek Nair, Dawn Song
2024	J	`jnl`	Truth in Motion: The Unprecedented Risks and Opportunities of Extended Reality Motion Data. IEEE Secur. Priv. Vivek Nair, Louis B. Rosenberg, James F. O'Brien, Dawn Song
2023	J	`jnl`	Berkeley Open Extended Reality Recordings 2023 (BOXRR-23): 4.7 Million Motion Capture Recordings from 105, 852 Extended Reality Device Users. CoRR Vivek Nair, Wenbo Guo, Rui Wang, James F. O'Brien, Louis B. Rosenberg, Dawn Song
2023	C	`conf`	Decentralizing Custodial Wallets with MFKDF. ICBC Vivek Nair, Dawn Song
2023	J	`jnl`	Decentralizing Custodial Wallets with MFKDF. CoRR Vivek Nair, Dawn Song
2023	J	`jnl`	Deep Motion Masking for Secure, Usable, and Scalable Real-Time Anonymization of Virtual Reality Motion Data. CoRR Vivek Nair, Wenbo Guo, James F. O'Brien, Louis B. Rosenberg, Dawn Song
2023	J	`jnl`	Exploring the Privacy Risks of Adversarial VR Game Design. Proc. Priv. Enhancing Technol. Vivek Nair, Gonzalo Munilla Garrido, Dawn Song, James F. O'Brien
2023	J	`jnl`	Inferring Private Personal Attributes of Virtual Reality Users from Head and Hand Motion Data. CoRR Vivek Nair, Christian Rack, Wenbo Guo, Rui Wang, Shuixian Li, Brandon Huang, Atticus Cull, James F. O'Brien, Louis B. Rosenberg, Dawn Song
2023	C	`conf`	Learning to Learn to Predict Performance Regressions in Production at Meta. AST Moritz Beller, Hongyu Li, Vivek Nair, Vijayaraghavan Murali, Imad Ahmad, Jürgen Cito, Drew Carlson, Gareth Ari Aye, Wes Dyer
2023	C	`conf`	MEVade: An MEV-Resistant Blockchain Design. ICBC Julien Piet, Vivek Nair, Sanjay Subramanian
2023	J	`jnl`	MFDPG: Multi-Factor Authenticated Password Management With Zero Stored Secrets. CoRR Vivek Nair, Dawn Song
2023	A	`conf`	Multi-Factor Credential Hashing for Asymmetric Brute-Force Attack Resistance. EuroS&P Vivek Nair, Dawn Song
2023	J	`jnl`	Multi-Factor Credential Hashing for Asymmetric Brute-Force Attack Resistance. CoRR Vivek Nair, Dawn Song
2023	A*	`conf`	Multi-Factor Key Derivation Function (MFKDF) for Fast, Flexible, Secure, & Practical Key Management. USENIX Security Symposium Vivek Nair, Dawn Song
2023	J	`jnl`	Results of the 2023 Census of Beat Saber Users: Virtual Reality Gaming Population Insights and Factors Affecting Virtual Reality E-Sports Performance. CoRR Vivek Nair, Viktor Radulov, James F. O'Brien
2023	J	`jnl`	SoK: Data Privacy in Virtual Reality. CoRR Gonzalo Munilla Garrido, Vivek Nair, Dawn Song
2023	—	`—`	The Unprecedented Risks and Opportunities of Extended Reality Motion Data Vivek Nair
2023	J	`jnl`	Truth in Motion: The Unprecedented Risks and Opportunities of Extended Reality Motion Data. CoRR Vivek Nair, Louis B. Rosenberg, James F. O'Brien, Dawn Song
2023	A*	`conf`	Unique Identification of 50, 000+ Virtual Reality Users from Head & Hand Motion Data. USENIX Security Symposium Vivek Nair, Wenbo Guo, Justus Mattern, Rui Wang, James F. O'Brien, Louis B. Rosenberg, Dawn Song
2023	J	`jnl`	Unique Identification of 50, 000+ Virtual Reality Users from Head & Hand Motion Data. CoRR Vivek Nair, Wenbo Guo, Justus Mattern, Rui Wang, James F. O'Brien, Louis B. Rosenberg, Dawn Song
2022	J	`jnl`	Exploring the Unprecedented Privacy Risks of the Metaverse. CoRR Vivek Nair, Gonzalo Munilla Garrido, Dawn Song
2022	J	`jnl`	Going Incognito in the Metaverse. CoRR Vivek Nair, Gonzalo Munilla Garrido, Dawn Song
2022	J	`jnl`	Learning to Learn to Predict Performance Regressions in Production at Meta. CoRR Moritz Beller, Hongyu Li, Vivek Nair, Vijayaraghavan Murali, Imad Ahmad, Jürgen Cito, Drew Carlson, Gareth Ari Aye, Wes Dyer
2022	J	`jnl`	Multi-Factor Key Derivation Function (MFKDF). CoRR Vivek Nair, Dawn Song
2021	J	`jnl`	Whence to Learn? Transferring Knowledge in Configurable Systems Using BEETLE. IEEE Trans. Software Eng. Rahul Krishna, Vivek Nair, Pooyan Jamshidi, Tim Menzies
2020	J	`jnl`	Finding Faster Configurations Using FLASH. IEEE Trans. Software Eng. Vivek Nair, Zhe Yu, Tim Menzies, Norbert Siegmund, Sven Apel
2019	J	`jnl`	"Sampling" as a Baseline Optimizer for Search-Based Software Engineering. IEEE Trans. Software Eng. Jianfeng Chen, Vivek Nair, Rahul Krishna, Tim Menzies
2019	J	`jnl`	Whence to Learn? Transferring Knowledge in Configurable Systems using BEETLE. CoRR Rahul Krishna, Vivek Nair, Pooyan Jamshidi, Tim Menzies
2018	A	`conf`	Arrow: Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM. ICDCS Chin-Jung Hsu, Vivek Nair, Vincent W. Freeh, Tim Menzies
2018	J	`jnl`	Beyond evolutionary algorithms for search-based software engineering. Inf. Softw. Technol. Jianfeng Chen, Vivek Nair, Tim Menzies
2018	J	`jnl`	Data-Driven Search-based Software Engineering. CoRR Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
2018	A	`conf`	Data-driven search-based software engineering. MSR Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
2018	J	`jnl`	Faster discovery of faster system configurations with spectral learning. Autom. Softw. Eng. Vivek Nair, Tim Menzies, Norbert Siegmund, Sven Apel
2018	J	`jnl`	Finding Faster Configurations using FLASH. CoRR Vivek Nair, Zhe Yu, Tim Menzies, Norbert Siegmund, Sven Apel
2018	—	`conf`	Is one hyperparameter optimizer enough? SWAN@ESEC/SIGSOFT FSE Huy Tu, Vivek Nair
2018	—	`conf`	Micky: A Cheaper Alternative for Selecting Cloud Instances. IEEE CLOUD Chin-Jung Hsu, Vivek Nair, Tim Menzies, Vincent W. Freeh
2018	J	`jnl`	Micky: A Cheaper Alternative for Selecting Cloud Instances. CoRR Chin-Jung Hsu, Vivek Nair, Tim Menzies, Vincent W. Freeh
2018	J	`jnl`	Scout: An Experienced Guide to Find the Best Cloud Configuration. CoRR Chin-Jung Hsu, Vivek Nair, Tim Menzies, Vincent W. Freeh
2018	J	`jnl`	Transfer Learning with Bellwethers to find Good Configurations. CoRR Vivek Nair, Rahul Krishna, Tim Menzies, Pooyan Jamshidi
2018	J	`jnl`	While Tuning is Good, No Tuner is Best. CoRR Huy Tu, Vivek Nair
2017	J	`jnl`	Beyond Evolutionary Algorithms for Search-based Software Engineering. CoRR Jianfeng Chen, Vivek Nair, Tim Menzies
2017	J	`jnl`	FLASH: A Faster Optimizer for SBSE Tasks. CoRR Vivek Nair, Zhe Yu, Tim Menzies
2017	J	`jnl`	Faster Discovery of Faster System Configurations with Spectral Learning. CoRR Vivek Nair, Tim Menzies, Norbert Siegmund, Sven Apel
2017	J	`jnl`	Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM. CoRR Chin-Jung Hsu, Vivek Nair, Vincent W. Freeh, Tim Menzies
2017	J	`jnl`	Using Bad Learners to find Good Configurations. CoRR Vivek Nair, Tim Menzies, Norbert Siegmund, Sven Apel
2017	—	`conf`	Using bad learners to find good configurations. ESEC/SIGSOFT FSE Vivek Nair, Tim Menzies, Norbert Siegmund, Sven Apel
2016	B	`conf`	An (Accidental) Exploration of Alternatives to Evolutionary Algorithms for SBSE. SSBSE Vivek Nair, Tim Menzies, Jianfeng Chen
2016	J	`jnl`	Is "Sampling" better than "Evolution" for Search-based Software Engineering? CoRR Jianfeng Chen, Vivek Nair, Rahul Krishna, Tim Menzies
2016	J	`jnl`	Why is Differential Evolution Better than Grid Search for Tuning Defect Predictors? CoRR Wei Fu, Vivek Nair, Tim Menzies
2015	Misc	`conf`	An integrated routing and offset-time adaptation scheme for OBS network. ICDCN Subhrabrata Choudhury, Vivek Nair, Jaydeep Howlader, B. Choudhury, Ashis Kumar Mal
2012	J	`jnl`	Routing Scheme for OBS Networks. JOCN Subhrabrata Choudhury, Vivek Nair, Ashis Kumar Mal