AI

NAIGC产品内容安全测试浅析

点击蓝字 关注我们AIGC产品内容安全测试浅析引言AIGC(Artificial Intelligence Generated Content,生成式人工智能)技术,依托生成对抗网络、大型预训练模...

NData Scientists Targeted by Malicious Hugging Face ML Models with Silent Backdoor

In the realm of AI collaboration, Hugging Face reigns supreme. But could it be the target of model-based attacks? Recent JFrog findings suggest a c...

SecGPT-Mini的一些补充

现在每个人都可以在电脑内置一个10年经验的安全专家了。SecGPT-Mini:是一个可以在普通CPU上运行的网络安全大模型。对昨天 https://mp.weixin.qq.com/s?__biz...

Analyzing AI Application Threat Models

Abstract 摘要 The following analysis explores the paradigm and security implications of machine learning integration into application architectures...

2024 DevSecOps Predictions – Part 1

DEVOPSdigest asked industry experts how they think DevSecOps will evolve and impact development and application security in 2024. DEVOPSdigest询问...

2024 DevSecOps Predictions – Part 2

DEVOPSdigest asked industry experts how they think DevSecOps will evolve and impact development and application security in 2024. Part 2 covers ris...

2024 DevSecOps Predictions – Part 3

DEVOPSdigest asked industry experts how they think DevSecOps will evolve and impact development and application security in 2024. Part 3 looks at m...

基于BiLSTM-CRF模型的分词、词性标注、信息抽取任务的详解,侧重模型推导细化以及LAC分词实践、经典技术

基于BiLSTM-CRF模型的分词、词性标注、信息抽取任务的详解,侧重模型推导细化以及LAC分词实践1.GRU简介GRU(Gate Recurrent Unit)门控循环单元,是[循环神经...

vllm的SamplingParams参数

vllm部署示例from vllm import LLM, SamplingParams# Sample prompts.prompts = [    'Hello, my name is',&n...

VOCE:一种具有悲观保守估计的变分优化的离线安全强化学习算法

编者按:旨在解决在不与环境进行交互的情况下,通过离线数据学习满足安全约束的策略的离线安全强化学习问题。通过概率推理重新定义了离线安全强化学习的任务...
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