19 citations · 23 across the 8 of their papers we have counts for
10 papers
Memory as Action: Autonomous Context Curation for Long-Horizon Agentic Tasks
Yuxiang Zhang, Jiangming Shu, Ye Ma +3
Long-context Large Language Models, despite their expanded capacity, require careful working memory management to mitigate attention dilution during long-horizon tasks. Yet existin…
o1-Coder: an o1 Replication for Coding
Yuxiang Zhang, Shangxi Wu, Yuqi Yang +4
The technical report introduces O1-CODER, an attempt to replicate OpenAI's o1 model with a focus on coding tasks. It integrates reinforcement learning (RL) and Monte Carlo Tree Sea…
A Disguised Wolf Is More Harmful Than a Toothless Tiger: Adaptive Malicious Code Injection Backdoor Attack Leveraging User Behavior as Triggers
Shangxi Wu, Jitao Sang
In recent years, large language models (LLMs) have made significant progress in the field of code generation. However, as more and more users rely on these models for software deve…
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark
Wenjun Peng, Jingwei Yi, Fangzhao Wu +7
Large language models (LLMs) have demonstrated powerful capabilities in both text understanding and generation. Companies have begun to offer Embedding as a Service (EaaS) based on…
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias
Shangxi Wu, Qiuyang He, Jian Yu +1
With the swift advancement of deep learning, state-of-the-art algorithms have been utilized in various social situations. Nonetheless, some algorithms have been discovered to exhib…
Debiasing Backdoor Attack: A Benign Application of Backdoor Attack in Eliminating Data Bias
Shangxi Wu, Qiuyang He, Yi Zhang +1
Backdoor attack is a new AI security risk that has emerged in recent years. Drawing on the previous research of adversarial attack, we argue that the backdoor attack has the potent…
An Experimental Study of Semantic Continuity for Deep Learning Models
Shangxi Wu, Dongyuan Lu, Xian Zhao +2
Deep learning models suffer from the problem of semantic discontinuity: small perturbations in the input space tend to cause semantic-level interference to the model output. We arg…
Adaptive Adversarial Logits Pairing
Shangxi Wu, Jitao Sang, Kaiyuan Xu +2
Adversarial examples provide an opportunity as well as impose a challenge for understanding image classification systems. Based on the analysis of the adversarial training solution…
Butterfly Detection and Classification Based on Integrated YOLO Algorithm
Bohan Liang, Shangxi Wu, Kaiyuan Xu +1
Insects are abundant species on the earth, and the task of identification and identification of insects is complex and arduous. How to apply artificial intelligence technology and…
Attention, Please! Adversarial Defense via Activation Rectification and Preservation
Shangxi Wu, Jitao Sang, Kaiyuan Xu +2
This study provides a new understanding of the adversarial attack problem by examining the correlation between adversarial attack and visual attention change. In particular, we obs…