activity
20222026
most citedObject-fabrication Targeted Attack for Object Detection

1 citations · 1 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Generating Multi-view Adversarial Examples for Visual Geometry Grounded Transformer

Qi Song, Ziyuan Luo, Haoliang Han +1

The Visual Geometry Grounded Transformer (VGGT) enables unified feed-forward 3D reconstruction from multi-view images. However, deploying such a high-performance model may expose c…

cs.AI2026

From Detecting Agency to Doing Work: Self-Caused Credit Builds a Durable Behavioral Self in a Minimal Spiking Agent

Haoliang Han

How does an agent that can tell self from world come to be durably shaped by that distinction? Recent work shows that a predictive system can detect its own agency (Ye, 2026), but…

cs.LG2026

EVAF: A Test-Retest Protocol for Selective Parametric Consolidation

Haoliang Han

Long-running language agents need mechanisms for deciding which experiences should persist after the working context is gone. Retrieval systems can reinsert past text, but they do…

cs.AI2026

Memory Depth, Not Memory Access: Selective Parametric Consolidation for Long-Running Language Agents

Haoliang Han

Long-running language agents need more than memory access. Retrieval systems can fetch past facts at query time, but they do not decide which experiences should continue to shape b…

cs.CV2026

GaussTrace: Provenance Analysis of 3D Gaussian Splatting Models with Evidence-based LLM Reasoning

Haoliang Han, Ziyuan Luo, Renjie Wan

3D Gaussian Splatting (3DGS) is a powerful technique for creating high-fidelity 3D assets. However, the widespread sharing and iterative modification of 3DGS models across digital…

cs.CV2025

GS-Checker: Tampering Localization for 3D Gaussian Splatting

Haoliang Han, Ziyuan Luo, Jun Qi +2

Recent advances in editing technologies for 3D Gaussian Splatting (3DGS) have made it simple to manipulate 3D scenes. However, these technologies raise concerns about potential mal…

cs.CR2022

Artificial Intelligence Security Competition (AISC)

Yinpeng Dong, Peng Chen, Senyou Deng +49

The security of artificial intelligence (AI) is an important research area towards safe, reliable, and trustworthy AI systems. To accelerate the research on AI security, the Artifi…

cs.CV2022★ 1 cited

Object-fabrication Targeted Attack for Object Detection

Xuchong Zhang, Changfeng Sun, Haoliang Han +1

Recent studies have demonstrated that object detection networks are usually vulnerable to adversarial examples. Generally, adversarial attacks for object detection can be categoriz…