ATTEQ-NN: Attention-based QoE-aware Evasive Backdoor Attacks. - Xueluan Gong; Yanjiao Chen; Jianshuo Dong; Qian Wang 002 (NDSS, 2022)

One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training. - Jianshuo Dong; Han Qiu 001; Yiming Li 004; Tianwei Zhang 004; Yuanjie Li; Zeqi Lai; Chao Zhang 008; Shu-Tao Xia (ICCV, 2023)

D-DAE: Defense-Penetrating Model Extraction Attacks. - Yanjiao Chen; Rui Guan; Xueluan Gong; Jianshuo Dong; Meng Xue (SP, 2023)

An Engorgio Prompt Makes Large Language Model Babble on. - Jianshuo Dong; Ziyuan Zhang; Qingjie Zhang; Tianwei Zhang 004; Hao Wang 003; Hewu Li; Qi Li 002; Chao Zhang 008; Ke Xu 002; Han Qiu 001 (ICLR, 2025)

Towards Understanding the Cognitive Habits of Large Reasoning Models. - Jianshuo Dong; Yujia Fu; Chuanrui Hu; Chao Zhang 008; Han Qiu 001 (CoRR, 2025)

Can Large Language Models Automate the Refinement of Cellular Network Specifications? - Jianshuo Dong; Tianyi Zhang; Feng Yan; Yuanjie Li; Hewu Li; Han Qiu 001 (CoRR, 2025)

DREAM: Scalable Red Teaming for Text-to-Image Generative Systems via Distribution Modeling. - Boheng Li; Junjie Wang; Yiming Li 004; Zhiyang Hu; Leyi Qi; Jianshuo Dong; Run Wang 001; Han Qiu 001; Zhan Qin; Tianwei Zhang 004 (CoRR, 2025)