10 citations · 18 across the 14 of their papers we have counts for
14 papers
LASH: Adaptive Semantic Hybridization for Black-Box Jailbreaking of Large Language Models
Abdullah Al Nomaan Nafi, Fnu Suya, Swarup Bhunia +1
Jailbreak attacks expose a persistent gap between the intended safety behavior of aligned large language models and their behavior under adversarial prompting. Existing automated m…
DASH: A Meta-Attack Framework for Synthesizing Effective and Stealthy Adversarial Examples
Abdullah Al Nomaan Nafi, Habibur Rahaman, Zafaryab Haider +4
Numerous techniques have been proposed for generating adversarial examples in white-box settings under strict Lp-norm constraints. However, such norm-bounded examples often fail to…
POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage
Tanzim Mahfuz, Sudipta Paria, Tasneem Suha +2
Microelectronic systems are widely used in many sensitive applications (e.g., manufacturing, energy, defense). These systems increasingly handle sensitive data (e.g., encryption ke…
SALTY: Explainable Artificial Intelligence Guided Structural Analysis for Hardware Trojan Detection
Tanzim Mahfuz, Pravin Gaikwad, Tasneem Suha +2
Hardware Trojans are malicious modifications in digital designs that can be inserted by untrusted supply chain entities. Hardware Trojans can give rise to diverse attack vectors su…
X-DFS: Explainable Artificial Intelligence Guided Design-for-Security Solution Space Exploration
Tanzim Mahfuz, Swarup Bhunia, Prabuddha Chakraborty
Design and manufacturing of integrated circuits predominantly use a globally distributed semiconductor supply chain involving diverse entities. The modern semiconductor supply chai…
Automatic Hardware Trojan Insertion using Machine Learning
Jonathan Cruz, Pravin Gaikwad, Abhishek Nair +2
Due to the current horizontal business model that promotes increasing reliance on untrusted third-party Intellectual Properties (IPs), CAD tools, and design facilities, hardware Tr…
Software Variants for Hardware Trojan Detection and Resilience in COTS Processors
Mahmudul Hasan, Jonathan Cruz, Prabuddha Chakraborty +2
The commercial off-the-shelf (COTS) component based ecosystem provides an attractive system design paradigm due to the drastic reduction in development time and cost compared to cu…
Third-Party Hardware IP Assurance against Trojans through Supervised Learning and Post-processing
Pravin Gaikwad, Jonathan Cruz, Prabuddha Chakraborty +2
System-on-chip (SoC) developers increasingly rely on pre-verified hardware intellectual property (IP) blocks acquired from untrusted third-party vendors. These IPs might contain hi…
Neural Storage: A New Paradigm of Elastic Memory
Prabuddha Chakraborty, Swarup Bhunia
Storage and retrieval of data in a computer memory plays a major role in system performance. Traditionally, computer memory organization is static - i.e., they do not change based…
Leveraging Domain Knowledge using Machine Learning for Image Compression in Internet-of-Things
Prabuddha Chakraborty, Jonathan Cruz, Swarup Bhunia
The emergent ecosystems of intelligent edge devices in diverse Internet of Things (IoT) applications, from automatic surveillance to precision agriculture, increasingly rely on rec…
An Automated Framework for Board-level Trojan Benchmarking
Tamzidul Hoque, Shuo Yang, Aritra Bhattacharyay +2
Economic and operational advantages have led the supply chain of printed circuit boards (PCBs) to incorporate various untrusted entities. Any of the untrusted entities are capable…
P2C2: Peer-to-Peer Car Charging
Prabuddha Chakraborty, Robert C. Parker, Tamzidul Hoque +2
With the rising concerns of fossil fuel depletion and the impact of Internal Combustion Engine(ICE) vehicles on our climate, the transportation industry is observing a rapid prolif…
SAIL: Machine Learning Guided Structural Analysis Attack on Hardware Obfuscation
Prabuddha Chakraborty, Jonathan Cruz, Swarup Bhunia
Obfuscation is a technique for protecting hardware intellectual property (IP) blocks against reverse engineering, piracy, and malicious modifications. Current obfuscation efforts m…
Learning to Estimate Pose by Watching Videos
Prabuddha Chakraborty, Vinay P. Namboodiri
In this paper we propose a technique for obtaining coarse pose estimation of humans in an image that does not require any manual supervision. While a general unsupervised technique…