MATH-AI, NeurIPS 2025
Can Large Language Models Learn Formal Logic? A Data-Driven Training and Evaluation Framework
Yuan Xia, Akanksha Atrey, Fadoua Khmaissia, Kedar S. Namjoshi
MATH-AI Workshop at NeurIPS 2025.
FutureG, NDSS 2025
Trust or Bust: A Survey of Threats in Decentralized Wireless Networks
Hetvi Shastri, Akanksha Atrey, Andre Beck, Nirupama Ravi
Workshop on Security and Privacy of Next-Generation Networks (FutureG), co-located with the NDSS Symposium 2025.
CSCW 2024
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.
SEC 2023
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.
WWW 2022
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]
Applied AI Letters 2021
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.
ICDCS 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.
GIQ 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.
IEEE IoT-J 2020
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.
ICLR 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.
SDM 2019
Identifying When Effect Restoration Will Improve Estimates of Causal Effect
Hüseyin Oktay, Akanksha Atrey, David Jensen
SIAM International Conference on Data Mining (SDM) 2019.
NeurIPS Workshop 2018
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.
ACM MM 2017
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.
ICWSM 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.
dg.o 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)
dg.o 2016
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.