most citedCryptoFace: End-to-End Encrypted Face Recognition

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Show Me: Unifying Instructional Image and Video Generation with Diffusion Models

Yujiang Pu, Zhanbo Huang, Vishnu Boddeti +1

Generating visual instructions in a given context is essential for developing interactive world simulators. While prior works address this problem through either text-guided image…

cs.CV20251 cited

CryptoFace: End-to-End Encrypted Face Recognition

Wei Ao, Vishnu Naresh Boddeti

Face recognition is central to many authentication, security, and personalized applications. Yet, it suffers from significant privacy risks, particularly arising from unauthorized…

cs.LG2025

Incorporating Interventional Independence Improves Robustness against Interventional Distribution Shift

Gautam Sreekumar, Vishnu Naresh Boddeti

We study the problem of learning robust discriminative representations of causally related latent variables given the underlying causal graph and a training set comprising passivel…

cs.CR2025

Shielding Latent Face Representations From Privacy Attacks

Arjun Ramesh Kaushik, Bharat Chandra Yalavarthi, Arun Ross +2

In today's data-driven analytics landscape, deep learning has become a powerful tool, with latent representations, known as embeddings, playing a central role in several applicatio…

cs.CV2024

SEAL: Semantic Attention Learning for Long Video Representation

Lan Wang, Yujia Chen, Du Tran +2

Long video understanding presents challenges due to the inherent high computational complexity and redundant temporal information. An effective representation for long videos must…