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ORCIDAbeer Matar A. Almalky
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- affiliation: Binghamton University, New York, NY, USA
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2020 – today
- 2025
[c5]Abeer Matar A. Almalky
, Ranyang Zhou, Shaahin Angizi, Adnan Siraj Rakin:
How Vulnerable are Large Language Models (LLMs) against Adversarial Bit-Flip Attacks? ACM Great Lakes Symposium on VLSI 2025: 534-539- [c4]Yunxiang Zhang, Sabbir Ahmed, Abeer Matar A. Almalky, Adnan Siraj Rakin, Wenfeng Zhao:
Non-Negative AdderNet: Algorithm-Hardware Co-design for Lightweight Defense of Adversarial Bit-Flip Attacks. ICCAD 2025: 1-8 - [c3]Abeer Matar A. Almalky, Sabbir Ahmed, Ranyang Zhou, Mohaiminul Al Nahian, Abdullah Al Arafat, Shaahin Angizi, Adnan Siraj Rakin:
LLWRA: Large Language Models Weight Replacement Attack. ICCAD 2025: 1-6 - [i3]Ranyang Zhou, Abeer Matar A. Almalky, Gamana Aragonda, Sabbir Ahmed, Filip Roth Trønnes-Christensen, Adnan Siraj Rakin, Shaahin Angizi:
EIM-TRNG: Obfuscating Deep Neural Network Weights with Encoding-in-Memory True Random Number Generator via RowHammer. CoRR abs/2507.02206 (2025) - [i2]Mohaiminul Al Nahian, Abeer Matar A. Almalky, Gamana Aragonda, Ranyang Zhou, Sabbir Ahmed, Dmitry Ponomarev, Li Yang, Shaahin Angizi, Adnan Siraj Rakin:
CacheTrap: Injecting Trojans in LLMs without Leaving any Traces in Inputs or Weights. CoRR abs/2511.22681 (2025) - [i1]Abeer Matar A. Almalky, Ziyan Wang, Mohaiminul Al Nahian, Li Yang, Adnan Siraj Rakin:
Ghosting Your LLM: Without The Knowledge of Your Gradient and Data. CoRR abs/2511.22700 (2025) - 2023
- [c2]Abeer Matar A. Almalky, Khaled R. Ahmed:
Real Time Deep Learning Algorithm for Counting Weed's Growth Stages. ISADS 2023: 1-6 - 2022
- [c1]Abeer Matar A. Almalky, Khaled R. Ahmed, Mustafa Guzel, Bülent Turan:
An Efficient Deep Learning Technique for Detecting and Classifying the Growth of Weeds on Fields. FTC (2) 2022: 818-835
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