Vedant Nanda
Vedant Nanda
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Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning
V Nanda*, S Dooley*, S Singla, S Feizi, JP Dickerson
FAccT, 2021
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning
H Heidari*, V Nanda*, KP Gummadi
ICML, 2019
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms During High-Demand Hours
V Nanda, P Xu, KA Sankararaman, JP Dickerson, A Srinivasan
AAAI, 2020
Technical Challenges for Training Fair Neural Networks
V Cherepanova*, V Nanda*, M Goldblum, JP Dickerson, T Goldstein
ICLR2021 Workshop on Responsible AI, 2021
Measuring Representational Robustness of Neural Networks Through Shared Invariances
V Nanda, T Speicher, C Kolling, JP Dickerson, K Gummadi, A Weller
ICML, 16368-16382, 2022
Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual
SA Esmaeili, S Duppala, D Cheng, V Nanda, A Srinivasan, JP Dickerson
AAAI, 2023
Do Invariances in Deep Neural Networks Align with Human Perception?
V Nanda, A Majumdar, C Kolling, JP Dickerson, KP Gummadi, BC Love, ...
AAAI, 2023
Stop the KillFies! Using Deep Learning Models to Identify Dangerous Selfies
V Nanda, H Lamba, D Agarwal, M Arora, N Sachdeva, P Kumaraguru
Companion Proceedings of the The Web Conference, 2018
Leveraging facebook's free basics engine for web service deployment in developing regions
S Singh*, V Nanda*, R Sen, S Sengupta, P Kumaraguru, KP Gummadi
ICTD, 2017
An Empirical Analysis of Facebook's Free Basics.
S Singh*, V Nanda*, R Sen, S Ahmad, S Sengupta, A Phokeer, ZA Farooq, ...
SIGMETRICS (Abstracts), 2017
What happens during finetuning of vision transformers: An invariance based investigation
G Merlin, V Nanda, R Rawal, M Toneva
Conference on Lifelong Learning Agents, 601-619, 2023
Understanding the Mechanics and Dynamics of Memorisation in Large Language Models: A Case Study with Random Strings
T Speicher, AM Khan, Q Wu, V Nanda, S Das, B Ghosh, KP Gummadi, ...
Diffused Redundancy in Pre-trained Representations
V Nanda, T Speicher, JP Dickerson, S Feizi, KP Gummadi, A Weller
NeurIPS, 2023
Unifying Model Explainability and Robustness via Machine-Checkable Concepts
V Nanda, T Speicher, JP Dickerson, KP Gummadi, MB Zafar
arXiv preprint arXiv:2007.00251, 2020
Exploring Pointwise Similarity of Representations
C Kolling, T Speicher, V Nanda, M Toneva, KP Gummadi
Pointwise Representational Similarity
C Kolling, T Speicher, V Nanda, M Toneva, KP Gummadi
arXiv preprint arXiv:2305.19294, 2023
Invariance Makes a Difference: Disentangling the Role of Invariance and Equivariance in Representations
T Speicher, V Nanda, KP Gummadi
Unifying Model Explainability and Robustness via Reasoning Labels
V Nanda, J Ali, KP Gummadi, MB Zafar
NeurIPS2019 Workshop on Safety and Robustness in Decision Making, 2019
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