activity
20212026
most citedOver-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images

15 citations · 15 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Technical Report on the CVPR 2026@AdvML Workshop Challenge

Tianyuan Zhang, Zonglei Jing, Jiangfan Liu +47

Vision-language agents (VLAs) are increasingly used to interpret complex driving scenes and support safety-critical reasoning. This report presents the CVPR 2026@AdvML Workshop Cha…

cs.CR2026

Uncovering Security Threats and Architecting Defenses in Autonomous Agents: A Case Study of OpenClaw

Zonghao Ying, Xiao Yang, Siyang Wu +7

The rapid evolution of Large Language Models (LLMs) into autonomous, tool-calling agents has fundamentally altered the cybersecurity landscape. Frameworks like OpenClaw grant AI sy…

cs.RO2025

MetAdv: A Unified and Interactive Adversarial Testing Platform for Autonomous Driving

Aishan Liu, Jiakai Wang, Tianyuan Zhang +6

Evaluating and ensuring the adversarial robustness of autonomous driving (AD) systems is a critical and unresolved challenge. This paper introduces MetAdv, a novel adversarial test…

cs.CR2025

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025

Zonghao Ying, Siyang Wu, Run Hao +44

Multimodal Large Language Models (MLLMs) have enabled transformative advancements across diverse applications but remain susceptible to safety threats, especially jailbreak attacks…

cs.CV2021

Towards Real-world X-ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection

Renshuai Tao, Yanlu Wei, Xiangjian Jiang +6

Prohibited items detection in X-ray images often plays an important role in protecting public safety, which often deals with color-monotonous and luster-insufficient objects, resul…

cs.CV2021

Multi-Pretext Attention Network for Few-shot Learning with Self-supervision

Hainan Li, Renshuai Tao, Jun Li +4

Few-shot learning is an interesting and challenging study, which enables machines to learn from few samples like humans. Existing studies rarely exploit auxiliary information from…

cs.CV2021★ 15 cited

Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images

Renshuai Tao, Yanlu Wei, Hainan Li +4

Security inspection is X-ray scanning for personal belongings in suitcases, which is significantly important for the public security but highly time-consuming for human inspectors.…