Akanksha Atrey
Research Scientist
Autonomous Systems Research Department
Nokia Bell Labs
I am a Researcher in the Autonomous Systems Research Department at Nokia Bell Labs, where I work on AI/ML systems, decentralized energy systems, autonomous networks, and Web3 infrastructure.
My prior work has spanned over building systems for machine learning that enable explainability and generalizability, building trustworthy and privacy-preserving ML systems, and designing machine learning solutions for ubiquitous computing. My PhD thesis focused on characterizing, evaluating and building trustworthy and privacy-preserving machine learning systems for resource-constrained edge environments.
Prior to joining graduate school, I was a software engineer at IBM where I worked on the z/OS Mainframe. I completed my Bachelor of Science in Mathematics and Computer Science from the University at Albany, SUNY.
W4-Groups: Modeling the Who, What, When and Where of Group Behavior Via Mobility Sensing
Akanksha Atrey, Camellia Zakaria, Rajesh Balan, Prashant Shenoy
ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) 2024.
SODA: Protecting Proprietary Information in On-Device Machine Learning Models
Akanksha Atrey, Ritwik Sinha, Saayan Mitra, Prashant Shenoy
ACM/IEEE Symposium of Edge Computing (SEC) 2023.
Towards Preserving Server-Side Privacy of On-Device Models.
Akanksha Atrey, Ritwik Sinha, Somdeb Sarkhel, Saayan Mitra, David Arbour, Akash V. Maharaj, Prashant Shenoy
The Web Conference (WWW) 2022. [poster]
Measuring and Characterizing Generalization in Deep Reinforcement Learning
Sam Witty, Jun K. Lee, Emma Tosch, Akanksha Atrey, Kaleigh Clary, Michael L. Littman, David Jensen
Applied AI Letters 2021.
Preserving Privacy in Personalized Models for Distributed Mobile Services
Akanksha Atrey, Prashant Shenoy, David Jensen
IEEE International Conference on Distributed Computing Systems (ICDCS) 2021.
Exploring E-petitioning and media: The case of #BringBackOurGirls
Teresa M. Harrison, Catherine Dumas, Nic DePaula, Tim Fake, Will May, Akanksha Atrey, Jooyeon Lee, Lokesh Rishi, S.S. Ravi
Government Information Quarterly 2021.
New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges
Saurabh Bagchi, Tarek F. Abdelzaher, Ramesh Govindan, Prashant Shenoy, Akanksha Atrey, Pradipta Ghosh, Ran Xu
IEEE Internet of Things Journal 2020.
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning
Akanksha Atrey, Kaleigh Clary, David Jensen
International Conference on Learning Representations (ICLR) 2020.
Identifying When Effect Restoration Will Improve Estimates of Causal Effect
Hüseyin Oktay, Akanksha Atrey, David Jensen
SIAM International Conference on Data Mining (SDM) 2019.
Generalization in Deep Reinforcement Learning
Sam Witty, Jun Ki Lee, Emma Tosch, Akanksha Atrey, Michael Littman, David Jensen
Critiquing and Correcting Trends in Machine Learning Workshop at NeurIPS 2018.
Do Diverse Social Interactions Make Us Smile More Often? Studying Smiles and Diversity Via Social Media Photos
Vivek K. Singh, Akanksha Atrey, Saket Hegde
ACM Multimedia (ACMMM) 2017.
Towards Measuring Fine-Grained Diversity Using Social Media Photographs
Vivek K. Singh, Saket Hegde, Akanksha Atrey
International Conference on Web and Social Media (ICWSM) 2017.
E-Petitioning and Online Media: The Case of# BringBackOurGirls
Teresa M. Harrison, Catherine Dumas, Nic DePaula, Tim Fake, Will May, Akanksha Atrey, Jooyeon Lee, Lokesh Rishi, S.S. Ravi
International Conference on Digital Government Research (dg.o) 2017. (Best paper award)
E-petition Information Diffusion in Online Social Networks
Catherine Dumas, Akanksha Atrey, Jooyeon Lee, Teresa M. Harrison, Tim Fake, Xiaoyi Zhao, S.S. Ravi
International Conference on Digital Government Research (dg.o) 2016.