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Three Paper Thursday: What’s Intel SGX Good For?

If an adversary managed to compromise their SGX, they could win the leader election at every round by...a handful of compromised nodes the adversary can compromise a network, z-test notwithstanding....Now, if an adversary uses a non-SGX system to attempt this, the attempt will fail since they will not...On the other hand, if the adversary does have possession of an SGX system, they do not gain anything...The authors consider a threat model where the adversary controls all code running on the server except

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ExPRT.AI如何预测下一个将被利用的漏洞

is built to help teams prioritize which vulnerabilities are most urgent for them.Without real-world adversary...It predicts which will be exploited, using live adversary signals, observed attack behavior, and AI trained...It uses AI trained on years of threat intelligence from CrowdStrike Counter Adversary Operations, combined...Powered by years of CrowdStrike's proprietary threat intelligence, adversary tradecraft, and real-time...Falcon Exposure Management relies on adversary activity and attack paths to prioritize vulnerabilities

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学界 | 用对抗网络生成训练数据：CMU论文A-Fast-RCNN的Caffe实现

选自Github 作者：王小龙等机器之心编译参与：李泽南最近，卡耐基梅隆大学（CMU）的王小龙等人发表的论文《A-Fast-RCNN: Hard Positive Generation via Adversary...Adversarial_Det.pdf Github：https://github.com/xiaolonw/adversarial-frcnn 论文：A-Fast-RCNN: Hard Positive Generation via Adversary...该研究的 Caffe 实现：A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection 介绍本实现是 Caffe...and Abhinav Shrivastava and Abhinav Gupta}, Title = {A-Fast-RCNN: Hard Positive Generation via Adversary

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基于Aidlux的智慧交通AI安全车辆检测训练实战

)print("test output:", pred)### 输出原labelpred_label = predict_from_logits(model(img))### 对抗攻击：PGD攻击算法adversary...print("test output:", pred_defense)pre_label = predict_from_logits(model_defense(img))### 对抗攻击：PGD攻击算法adversary...:", pred) ### 输出原label pred_label = predict_from_logits(model_su(img)) ### 对抗攻击：PGD攻击算法 adversary..., eps_iter=2/255, nb_iter=80, rand_init=True, targeted=False) ### 完成攻击，输出对抗样本 advimg = adversary.perturb...:", pred) ### 输出原label pred_label = predict_from_logits(model_su(img)) ### 对抗攻击：PGD攻击算法 adversary

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精选机器学习开源项目Top10

utm_source=mybridge&utm_medium=blog&utm_campaign=read_more ▌7、Artificial-Adversary Artificial-adversary...Github 链接： https://github.com/airbnb/artificial-adversary?

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【8月Github爆款Top10】机器学习热门开源项目新鲜出炉！

Artificial-adversary 这个库允许你使用一些方法生成文本，并对机器学习模型模拟攻击。通过离线将你的模型暴露在这些文本中，有利于在线环境下的准备工作。由AirbnbEng出品。...链接： https://github.com/airbnb/artificial-adversary?

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2018年8月机器学习Github开源项目TOP 10

utm_source=mybridge&utm_medium=blog&utm_campaign=read_more 7.Artificial-adversary 该库允许用户使用相似的外观替换字符，删除或添加标点符号和间距...项目：github.com/airbnb/artificial-adversary?

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【二】MADDPG多智能体算法实现(parl)【追逐游戏复现】

Not a multiagent environment -- used for debugging policies. simple_adversary.py (Physical deception)...N Y 1 adversary (red), N good agents (green), N landmarks (usually N=2)....Adversary is rewarded based on how close it is to the target, but it doesn’t know which landmark is the... (Covert communication) Y Y Two good agents (alice and bob), one adversary (eve)....Adversary is rewarded if it is close to the landmark, and if the agent is far from the landmark.

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业界 | CMU和谷歌联手研制左右互搏的对抗性机器人

对抗者（adversary）可以是一个机器人，其会尝试破坏另一个机器人抓取物体（如下图所示），同时对抗者也可以是双臂机器人中的单臂，其尝试干扰另一只单臂抓取物体。 ?...他们的想法是引入一个对抗者（adversary）作为学习过程的一部分，因此一个「邪恶的机器人」会尽可能地令其它不太稳定的抓取失败。...他们同样展示这一系统是怎样工作的，该训练过程要比简单地采用大量抓取而没有对抗性训练好的多：经过三次「摇动对抗」（shaking adversary）的迭代训练，我们的抓取率增从 43% 增长到了 58%

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python源码阅读笔记之字典对象

* XXX A clever adversary could prevent this * XXX from terminating...* XXX A clever adversary could prevent this * XXX from terminating...* XXX A clever adversary could prevent this * XXX from terminating...* XXX A clever adversary could prevent this * XXX from terminating

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当“算法”倾听心灵：AI心理咨询机器人（如Woebot）的伦理边界与代码实战

roberta.base', torch_dtype='float16') self.classifier = nn.Linear(768, n_classes) self.adversary...y_logit = self.classifier(x) if self.training and race is not None: race_logit = self.adversary

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006_决策模块的安全强化学习：防范策略中毒与保障自主安全

self.policy_network.parameters(), lr=config['policy_lr'] ) self.adversary_optimizer...= torch.optim.Adam( self.adversary_network.parameters(), lr=config['adv_lr']...对手网络优化：生成最坏情况的状态扰动 self.adversary_optimizer.zero_grad() # 生成对抗扰动 adv_perturbations...= self.adversary_network(states) # 限制扰动幅度 adv_perturbations = torch.clamp(adv_perturbations...# 重新生成对抗扰动（使用更新后的对手网络） with torch.no_grad(): adv_perturbations = self.adversary_network

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对抗学习用于目标检测--A-Fast-RCNN

A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection CVPR 2017 Caffe code : https

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Cobalt Strike 流量特征

简介简介：Cobalt Strike is software for Adversary Simulations and Red Team Operations.

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学界 | Github八月深度学习项目热搜Top 10，你Pick哪一个！

第七名 Artificial-adversary：生成对抗文本的工具，测试机器学习模型（Airbnb Engineering）[Github中获得155星] https://github.com/airbnb.../artificial-adversary?

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COMP7404 Topic 3 Adversarial Search

alternate turns Compute each node’s minimax value the best achievable utility against a rational (optimal) adversary

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DeepRobust-对抗攻击和防御pytorch库

batch_size = 10, shuffle=True) x, y = next(iter(test_loader)) x = x.to('cuda').float() adversary...= PGD(model, device) Adv_img = adversary.generate(x, y, **attack_params['PGD_CIFAR10']) 3 生成防御模型 from

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Expressivity,Trainability,and Generalization in Machine Learning

Another situation is that differences can be generated by an adversary....generalization is probably that of adversarial attacks, where the perturbations are coming from an “adversary...If an AI system is robust against a skilled human adversary, I consider it to have sufficient strong...inference time, randomly pick a model from an ensemble of trained models, and serve that model to the adversary

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API安全Top 10 漏洞：crAPI漏洞靶场与解题思路

4.Operation 点击 create operation,选择一个adversary即可。其余选项不用动，点击start则会在已上线的机器上执行Adversary。

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基于二维码的“Scanception”钓鱼攻击机制与防御体系研究

本文系统剖析了“Scanception”攻击链的技术细节，包括社会工程诱饵设计、重定向基础设施滥用、Adversary-in-the-Middle（AITM）认证劫持机制及反检测策略，并在此基础上提出一套融合静态分析...关键词：二维码钓鱼；Scanception；Adversary-in-the-Middle；重定向滥用；PDF诱饵；移动终端安全1 引言二维码作为一种快速编码与解码信息的图形符号，自2000年代中期以来在全球范围内迅速普及...其核心技术为Adversary-in-the-Middle（AITM）：当用户提交用户名密码后，攻击服务器立即将凭证转发至真实Microsoft登录端点，获取会话Cookie或刷新令牌，再将合法响应返回给用户

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点击加载更多

Three Paper Thursday: What’s Intel SGX Good For?

ExPRT.AI如何预测下一个将被利用的漏洞

学界 | 用对抗网络生成训练数据：CMU论文A-Fast-RCNN的Caffe实现

基于Aidlux的智慧交通AI安全车辆检测训练实战

精选机器学习开源项目Top10

【8月Github爆款Top10】机器学习热门开源项目新鲜出炉！

2018年8月机器学习Github开源项目TOP 10

【二】MADDPG多智能体算法实现(parl)【追逐游戏复现】

业界 | CMU和谷歌联手研制左右互搏的对抗性机器人

python源码阅读笔记之字典对象

当“算法”倾听心灵：AI心理咨询机器人（如Woebot）的伦理边界与代码实战

006_决策模块的安全强化学习：防范策略中毒与保障自主安全

对抗学习用于目标检测--A-Fast-RCNN

Cobalt Strike 流量特征

学界 | Github八月深度学习项目热搜Top 10，你Pick哪一个！

COMP7404 Topic 3 Adversarial Search

DeepRobust-对抗攻击和防御pytorch库

Expressivity,Trainability,and Generalization in Machine Learning

API安全Top 10 漏洞：crAPI漏洞靶场与解题思路

基于二维码的“Scanception”钓鱼攻击机制与防御体系研究

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