Abeer Matar A. Almalky

According to our database, Abeer Matar A. Almalky authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Late Breaking Results: Thermally Assisted RowPress-RowHammer Synergy for Cross-Row Bit Flips.

Filip Roth Trønnes-Christensen, Ranyang Zhou, Gamana Aragonda, Abeer Matar A. Almalky, Mohaiminul Al Nahian, Adnan Siraj Rakin, Shaahin Angizi

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025

Ghosting Your LLM: Without The Knowledge of Your Gradient and Data.

Abeer Matar A. Almalky, Ziyan Wang, Mohaiminul Al Nahian, Li Yang, Adnan Siraj Rakin

CoRR, November, 2025

CacheTrap: Injecting Trojans in LLMs without Leaving any Traces in Inputs or Weights.

Mohaiminul Al Nahian, Abeer Matar A. Almalky, Gamana Aragonda, Ranyang Zhou, Sabbir Ahmed, Dmitry Ponomarev, Li Yang, Shaahin Angizi, Adnan Siraj Rakin

CoRR, November, 2025

EIM-TRNG: Obfuscating Deep Neural Network Weights with Encoding-in-Memory True Random Number Generator via RowHammer.

Ranyang Zhou, Abeer Matar A. Almalky, Gamana Aragonda, Sabbir Ahmed, Filip Roth Trønnes-Christensen, Adnan Siraj Rakin, Shaahin Angizi

CoRR, July, 2025

LLWRA: Large Language Models Weight Replacement Attack.

Abeer Matar A. Almalky, Sabbir Ahmed, Ranyang Zhou, Mohaiminul Al Nahian, Abdullah Al Arafat, Shaahin Angizi, Adnan Siraj Rakin

Proceedings of the International Conference on Control, Automation and Diagnosis, 2025

Non-Negative AdderNet: Algorithm-Hardware Co-design for Lightweight Defense of Adversarial Bit-Flip Attacks.

Yunxiang Zhang, Sabbir Ahmed, Abeer Matar A. Almalky, Adnan Siraj Rakin, Wenfeng Zhao

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

How Vulnerable are Large Language Models (LLMs) against Adversarial Bit-Flip Attacks?

Abeer Matar A. Almalky, Ranyang Zhou, Shaahin Angizi, Adnan Siraj Rakin

Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

2023

Real Time Deep Learning Algorithm for Counting Weed's Growth Stages.

Abeer Matar A. Almalky, Khaled R. Ahmed

Proceedings of the 15th IEEE International Symposium on Autonomous Decentralized System, 2023

2022

An Efficient Deep Learning Technique for Detecting and Classifying the Growth of Weeds on Fields.

Abeer Matar A. Almalky, Khaled R. Ahmed, Mustafa Guzel, Bülent Turan

Proceedings of the Future Technologies Conference, 2022