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Found 7 papers, 2 papers with code
CredID: Credible Multi-Bit Watermark for Large Language Models Identification
This paper proposes a multi-party credible watermarking framework (CredID) involving a trusted third party (TTP) and multiple LLM vendors to address these issues.
Building Intelligence Identification System via Large Language Model Watermarking: A Survey and Beyond
Large Language Models (LLMs) are increasingly integrated into diverse industries, posing substantial security risks due to unauthorized replication and misuse.
Magnitude-based Neuron Pruning for Backdoor Defens
Deep Neural Networks (DNNs) are known to be vulnerable to backdoor attacks, posing concerning threats to their reliable deployment.
OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detection
We then pre-train a generative self-supervised graph autoencoder (GAE) to better learn the features of benign models in order to detect backdoor models without knowing the attack strategy.
CN-Celeb-AV: A Multi-Genre Audio-Visual Dataset for Person Recognition
A comprehensive study was conducted to compare CN-Celeb-AV with two popular public AVPR benchmark datasets, and the results demonstrated that CN-Celeb-AV is more in line with real-world scenarios and can be regarded as a new benchmark dataset for AVPR research.
The Stochastic Proximal Distance Algorithm
Stochastic versions of proximal methods have gained much attention in statistics and machine learning.
Swin Transformer coupling CNNs Makes Strong Contextual Encoders for VHR Image Road Extraction
While CNN excels at extracting local detail features, the Transformer naturally perceives global contextual information.
