Picture for Zhibo Zhang

Zhibo Zhang

co-first author

Model-Editing-Based Jailbreak against Safety-aligned Large Language Models

Add code
Dec 11, 2024
Viaarxiv icon

GlitchProber: Advancing Effective Detection and Mitigation of Glitch Tokens in Large Language Models

Add code
Aug 09, 2024
Viaarxiv icon

ELiTe: Efficient Image-to-LiDAR Knowledge Transfer for Semantic Segmentation

Add code
May 07, 2024
Viaarxiv icon

Robust Fine-tuning for Pre-trained 3D Point Cloud Models

Add code
Apr 25, 2024
Viaarxiv icon

Beamforming Optimization for Active RIS-Aided Multiuser Communications With Hardware Impairments

Add code
Feb 16, 2024
Viaarxiv icon

Explainable Label-flipping Attacks on Human Emotion Assessment System

Add code
Feb 08, 2023
Viaarxiv icon

Data Poisoning Attacks on EEG Signal-based Risk Assessment Systems

Add code
Feb 08, 2023
Viaarxiv icon

Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG Signals

Add code
Jan 17, 2023
Figure 1 for Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG Signals
Figure 2 for Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG Signals
Figure 3 for Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG Signals
Figure 4 for Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG Signals
Viaarxiv icon

A Late Multi-Modal Fusion Model for Detecting Hybrid Spam E-mail

Add code
Oct 26, 2022
Viaarxiv icon

Explainable Artificial Intelligence to Detect Image Spam Using Convolutional Neural Network

Add code
Sep 07, 2022
Figure 1 for Explainable Artificial Intelligence to Detect Image Spam Using Convolutional Neural Network
Figure 2 for Explainable Artificial Intelligence to Detect Image Spam Using Convolutional Neural Network
Figure 3 for Explainable Artificial Intelligence to Detect Image Spam Using Convolutional Neural Network
Figure 4 for Explainable Artificial Intelligence to Detect Image Spam Using Convolutional Neural Network
Viaarxiv icon