Lingxin Jin

According to our database, Lingxin Jin authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

Spike-PTSD: A Bio-Plausible Adversarial Example Attack on Spiking Neural Networks via PTSD-Inspired Spike Scaling.

Lingxin Jin, Wei Jiang, Maregu Assefa Habtie, Letian Chen, Jinyu Zhan, Xingzhi Zhou, Lin Zuo, Naoufel Werghi

CoRR, April, 2026

Data poisoning-based backdoor attacks against supervised learning rules of Spiking Neural Networks.

Lingxin Jin, Wei Jiang, Jinyu Zhan, Meiyu Lin, Letian Chen, Boran Quan, Lin Zuo, Xingzhi Zhou, Maregu Assefa Habtie, Naoufel Werghi

J. Syst. Archit., 2026

2025

A Computation-Quantized Training Framework to Generate Accuracy Lossless QNNs for One-Shot Deployment in Embedded Systems.

Xingzhi Zhou, Wei Jiang, Jinyu Zhan, Lingxin Jin, Lin Zuo

IEEE Trans. Computers, November, 2025

Trojan Attacks and Countermeasures on Deep Neural Networks from Life-Cycle Perspective: A Review.

Lingxin Jin, Xiangyu Wen, Wei Jiang, Jinyu Zhan, Xingzhi Zhou

ACM Comput. Surv., October, 2025

2024

Highly Evasive Targeted Bit-Trojan on Deep Neural Networks.

Lingxin Jin, Wei Jiang, Jinyu Zhan, Xiangyu Wen

IEEE Trans. Computers, September, 2024

Data Poisoning-based Backdoor Attack Framework against Supervised Learning Rules of Spiking Neural Networks.

Lingxin Jin, Meiyu Lin, Wei Jiang, Jinyu Zhan

CoRR, 2024

A Survey of Trojan Attacks and Defenses to Deep Neural Networks.

Lingxin Jin, Xianyu Wen, Wei Jiang, Jinyu Zhan

CoRR, 2024

2023

Iterative Training Attack: A Black-Box Adversarial Attack via Perturbation Generative Network.

Hong Lei, Wei Jiang, Jinyu Zhan, Shen You, Lingxin Jin, Xiaona Xie, Zhengwei Chang

J. Circuits Syst. Comput., December, 2023