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20192026
most citedGenerating High Quality Random Numbers: A High Throughput Parallel Bitsliced Approach

4 citations · 8 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AR2026

A Generic Modulo- RNS Multiplier Based on Twit Representation

Saeid Gorgin, Amirhossein Sadr, Behzad Salami +1

Modular multiplication is a fundamental arithmetic primitive in Residue Number Systems (RNS) and is often the dominant source of delay, area, and energy consumption in RNS datapath…

cs.CR2022★ 2 cited

HyperDbg: Reinventing Hardware-Assisted Debugging (Extended Version)

Mohammad Sina Karvandi, MohammadHossein Gholamrezaei, Saleh Khalaj Monfared +7

Software analysis, debugging, and reverse engineering have a crucial impact in today's software industry. Efficient and stealthy debuggers are especially relevant for malware analy…

cs.AI2020

Unlucky Explorer: A Complete non-Overlapping Map Exploration

Mohammad Sina Kiarostami, Saleh Khalaj Monfared, Mohammadreza Daneshvaramoli +4

Nowadays, the field of Artificial Intelligence in Computer Games (AI in Games) is going to be more alluring since computer games challenge many aspects of AI with a wide range of p…

cs.CR2020

A Way Around UMIP and Descriptor-Table Exiting via TSX-based Side-Channel

Mohammad Sina Karvandi, Saleh Khalaj Monfared, Mohammad Sina Kiarostami +2

Nowadays, in operating systems, numerous protection mechanisms prevent or limit the user-mode applicationsto access the kernels internal information. This is regularlycarried out b…

cs.LG2019

On the Resilience of Deep Learning for Reduced-voltage FPGAs

Kamyar Givaki, Behzad Salami, Reza Hojabr +6

Deep Neural Networks (DNNs) are inherently computation-intensive and also power-hungry. Hardware accelerators such as Field Programmable Gate Arrays (FPGAs) are a promising solutio…

cs.CR2019★ 4 cited

Generating High Quality Random Numbers: A High Throughput Parallel Bitsliced Approach

Saleh Khalaj Monfared, Omid Hajihassani, Soroush Meghdadi Zanjani +3

In this work, by employing a bitsliced data representation as building blocks of algorithms, we showcase the capability and scalability of our proposed method in a variety of PRNG…