20 citations · 31 across the 6 of their papers we have counts for
4 papers · 1 filter
Attacking Deep Learning AI Hardware with Universal Adversarial Perturbation
Mehdi Sadi, B. M. S. Bahar Talukder, Kaniz Mishty +1
Universal Adversarial Perturbations are image-agnostic and model-independent noise that when added with any image can mislead the trained Deep Convolutional Neural Networks into th…
A Non-invasive Technique to Detect Authentic/Counterfeit SRAM Chips
B. M. S. Bahar Talukder, Farah Ferdaus, Md Tauhidur Rahman
Many commercially available memory chips are fabricated worldwide in untrusted facilities. Therefore, a counterfeit memory chip can easily enter into the supply chain in different…
Approximate MRAM: High-performance and Power-efficient Computing with MRAM Chips for Error-tolerant Applications
Farah Ferdaus, B. M. S. Bahar Talukder, Md Tauhidur Rahman
Approximate computing (AC) leverages the inherent error resilience and is used in many big-data applications from various domains such as multimedia, computer vision, signal proces…
True Random Number Generation using Latency Variations of Commercial MRAM Chips
Farah Ferdaus, B. M. S. Bahar Talukder, Mehdi Sadi +1
The emerging magneto-resistive RAM (MRAM) has considerable potential to become a universal memory technology because of its several advantages: unlimited endurance, lower read/writ…