3 citations · 3 across the 4 of their papers we have counts for
7 papers
Analysis of Power-Oriented Fault Injection Attacks on Spiking Neural Networks
Karthikeyan Nagarajan, Junde Li, Sina Sayyah Ensan +3
Spiking Neural Networks (SNN) are quickly gaining traction as a viable alternative to Deep Neural Networks (DNN). In comparison to DNNs, SNNs are more computationally powerful and…
Comprehensive Study of Security and Privacy of Emerging Non-Volatile Memories
Mohammad Nasim Imtiaz Khan, Swaroop Ghosh
At the end of Silicon roadmap, keeping the leakage power in tolerable limit and bridging the bandwidth gap between processor and memory have become some of the biggest challenges.…
SCARE: Side Channel Attack on In-Memory Computing for Reverse Engineering
Sina Sayyah Ensan, Karthikeyan Nagarajan, Mohammad Nasim Imtia Khan +1
In-memory computing architectures provide a much needed solution to energy-efficiency barriers posed by Von-Neumann computing due to the movement of data between the processor and…
TrappeD: DRAM Trojan Designs for Information Leakage and Fault Injection Attacks
Karthikeyan Nagarajan, Asmit De, Mohammad Nasim Imtiaz Khan +1
In this paper, we investigate the advanced circuit features such as wordline- (WL) underdrive (prevents retention failure) and overdrive (assists write) employed in the peripherals…
RF-Trojan: Leaking Kernel Data Using Register File Trojan
Mohammad Nasim Imtiaz Khan, Asmit De, Swaroop Ghosh
Register Files (RFs) are the most frequently accessed memories in a microprocessor for fast and efficient computation and control logic. Segment registers and control registers are…
Multi-Bit Read and Write Methodologies for Diode-STTRAM Crossbar Array
Mohammad Nasim Imtiaz Khan, Swaroop Ghosh, Radha Krishna Aluru +1
Crossbar arrays using emerging non-volatile memory technologies such as Resistive RAM (ReRAM) offer high density, fast access speed and low-power. However the bandwidth of the cros…