1 citations · 1 across the 5 of their papers we have counts for
5 papers
Statistical Adversaries: Natural Backdoor-like Adversarial Features in Clean Vision Datasets
Paul K. Mandal, Pavan Reddy, Tristan Malatynski
Model-specific adversarial attacks have been extensively studied. We study a different failure mode: naturally occurring statistical signals in vision data that can behave as backd…
Localizing Adversarial Attacks To Produces More Imperceptible Noise
Pavan Reddy, Aditya Sanjay Gujral
Adversarial attacks in machine learning traditionally focus on global perturbations to input data, yet the potential of localized adversarial noise remains underexplored. This stud…
Preventing Another Tessa: Modular Safety Middleware For Health-Adjacent AI Assistants
Pavan Reddy, Nithin Reddy
In 2023, the National Eating Disorders Association's (NEDA) chatbot Tessa was suspended after providing harmful weight-loss advice to vulnerable users-an avoidable failure that und…
EchoLeak: The First Real-World Zero-Click Prompt Injection Exploit in a Production LLM System
Pavan Reddy, Aditya Sanjay Gujral
Large language model (LLM) assistants are increasingly integrated into enterprise workflows, raising new security concerns as they bridge internal and external data sources. This p…
AnoGAN for Tabular Data: A Novel Approach to Anomaly Detection
Aditya Singh, Pavan Reddy
Anomaly detection, a critical facet in data analysis, involves identifying patterns that deviate from expected behavior. This research addresses the complexities inherent in anomal…