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20182026
most citedUnravelling Robustness of Deep Learning based Face Recognition Against Adversarial Attacks

65 citations · 207 across the 20 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024

Aligning Characteristic Descriptors with Images for Human-Expert-like Explainability

Bharat Chandra Yalavarthi, Nalini Ratha

In mission-critical domains such as law enforcement and medical diagnosis, the ability to explain and interpret the outputs of deep learning models is crucial for ensuring user tru…

cs.CL2024

Enhancing Authorship Attribution through Embedding Fusion: A Novel Approach with Masked and Encoder-Decoder Language Models

Arjun Ramesh Kaushik, Sunil Rufus R P, Nalini Ratha

The increasing prevalence of AI-generated content alongside human-written text underscores the need for reliable discrimination methods. To address this challenge, we propose a nov…

cs.CR2024

Towards Building Secure UAV Navigation with FHE-aware Knowledge Distillation

Arjun Ramesh Kaushik, Charanjit Jutla, Nalini Ratha

In safeguarding mission-critical systems, such as Unmanned Aerial Vehicles (UAVs), preserving the privacy of path trajectories during navigation is paramount. While the combination…

cs.CR2024

Confidential and Protected Disease Classifier using Fully Homomorphic Encryption

Aditya Malik, Nalini Ratha, Bharat Yalavarthi +3

With the rapid surge in the prevalence of Large Language Models (LLMs), individuals are increasingly turning to conversational AI for initial insights across various domains, inclu…

cs.CR2024

Enhancing Privacy and Security of Autonomous UAV Navigation

Vatsal Aggarwal, Arjun Ramesh Kaushik, Charanjit Jutla +1

Autonomous Unmanned Aerial Vehicles (UAVs) have become essential tools in defense, law enforcement, disaster response, and product delivery. These autonomous navigation systems req…

cs.CR2024★ 1 cited

Enhancing Privacy in Face Analytics Using Fully Homomorphic Encryption

Bharat Yalavarthi, Arjun Ramesh Kaushik, Arun Ross +2

Modern face recognition systems utilize deep neural networks to extract salient features from a face. These features denote embeddings in latent space and are often stored as templ…