4 papers
PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing
Bhavya Kohli, Biplab Sikdar
Message Passing Neural Networks (MPNNs) have achieved strong performance on tasks involving relational data. However, small perturbations to graph structure can significantly alter…
Masked Diffusion Models are Secretly Learned-Order Autoregressive Models
Prateek Garg, Bhavya Kohli, Sunita Sarawagi
Masked Diffusion Models (MDMs) have emerged as one of the most promising paradigms for generative modeling over discrete domains. It is known that MDMs effectively train to decode…
Swarm-Net: Firmware Attestation in IoT Swarms using Graph Neural Networks and Volatile Memory
Varun Kohli, Bhavya Kohli, Muhammad Naveed Aman +1
The Internet of Things (IoT) is a network of billions of interconnected, primarily low-end embedded devices. Despite large-scale deployment, studies have highlighted critical secur…
Energy-Efficient Seizure Detection Suitable for low-power Applications
Julia Werner, Bhavya Kohli, Paul Palomero Bernardo +2
Epilepsy is the most common, chronic, neurological disease worldwide and is typically accompanied by reoccurring seizures. Neuro implants can be used for effective treatment by sup…