output
19972026
most citedIncreasing Average Period Lengths by Switching of Robust Chaos Maps in Finite Precision

59 citations

24 papers

cs.CR2026

Dependable Artificial Intelligence with Reliability and Security (DAIReS): A Unified Syndrome Decoding Approach for Hallucination and Backdoor Trigger Detection

Hema Karnam Surendrababu, Nithin Nagaraj

Machine Learning (ML) models, including Large Language Models (LLMs), are characterized by a range of system-level attributes such as security and reliability. Recent studies have…

cs.CR2025★ 1 cited

Differential Privacy for Secure Machine Learning in Healthcare IoT-Cloud Systems

N Mangala, Murtaza Rangwala, S Aishwarya +5

Healthcare has become exceptionally sophisticated, as wearables and connected medical devices revolutionize remote patient monitoring, emergency response, medication management, di…

cs.CR2025

A Chaos Driven Metric for Backdoor Attack Detection

Hema Karnam Surendrababu, Nithin Nagaraj

The advancement and adoption of Artificial Intelligence (AI) models across diverse domains have transformed the way we interact with technology. However, it is essential to recogni…

eess.SP2022★ 3 cited

Granger Causality for Compressively Sensed Sparse Signals

Aditi Kathpalia, Nithin Nagaraj

Compressed sensing is a scheme that allows for sparse signals to be acquired, transmitted and stored using far fewer measurements than done by conventional means employing Nyquist…

cs.LG2020★ 12 cited

Causal Discovery using Compression-Complexity Measures

Pranay SY, Nithin Nagaraj

Causal inference is one of the most fundamental problems across all domains of science. We address the problem of inferring a causal direction from two observed discrete symbolic s…

math.DS2019★ 2 cited

Causal Stability and Synchronization

Aditi Kathpalia, Nithin Nagaraj

Synchronization of chaos arises between coupled dynamical systems and is very well understood as a temporal phenomena which leads the coupled systems to converge or develop a depen…