Výsledky vyhledávání - Muhammad Abdullah Hanif

DAEM: A Data- and Application-Aware Error Analysis Methodology for Approximate Adders Autor Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique

Získat plný text

AdvRain: Adversarial Raindrops to Attack Camera-Based Smart Vision Systems Autor Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique

Získat plný text

GestLite: Lightweight Gesture Detection for Edge AI via Event-Driven Model and Input Adaptations Autor Abdul Basit, Manaal Waseem, Muhammad Abdullah Hanif, Muhammad Shafique

Získat plný text

Physical Adversarial Attacks for Camera-Based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook Autor Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique

Získat plný text

Survey on Backdoor Attacks on Deep Learning: Current Trends, Categorization, Applications, Research Challenges, and Future Prospects Autor Muhammad Abdullah Hanif, Nandish Chattopadhyay, Bassem Ouni, Muhammad Shafique

Získat plný text

SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation Autor Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique

Získat plný text

RescueSNN: enabling reliable executions on spiking neural network accelerators under permanent faults Autor Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique

Získat plný text

Does environmental innovation improve investment efficiency? Autor Ijaz Ur Rehman, Faisal Shahzad, Usama Laique, Muhammad Abdullah Hanif

Získat plný text

scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier With Linearization and Compensation Autor Ebrahim Farahmand, Mohammad Javad Askarizadeh, Ali Mahani, Behnam Ghavami, Hassan Ghasemzadeh, Muhammad Abdullah Hanif, Muhammad Shafique

Získat plný text