Aggregator
Assuming Bias and Responsible AI
There are plenty of examples of artificial intelligence and machine learning systems that made it into the news because of biased predictions and failures.
Here are a few examples on AI/ML gone wrong:
- Amazon had an AI recruiting tool which favored men over women for technical jobs
- The Microsoft chat bot named “Tay” which turned racist and sexist rather quickly
- A doctor at the Jupiter Hospital in Florida referred to IBM’s AI system for helping recommend cancer treatments as “a piece of sh*t”
- Facebook’s AI got someone arrested for incorrectly translating text
The list of AI failures goes on…
Pursuit for Frictionless BFSI App Experience At The Cost Of Security
攻击3389之PTH
【报名通道开启】VIPKID SRC助力贝壳找房2020 ICS安全技术峰会
【VK技术分享】数据安全怎么做—个人信息保护法解读
【报名通道开启】VIPKID SRC助力贝壳找房2020 ICS安全技术峰会
【VK技术分享】数据安全怎么做—个人信息保护法解读
【报名通道开启】VIPKID SRC助力贝壳找房2020 ICS安全技术峰会
【VK技术分享】数据安全怎么做—个人信息保护法解读
对一款Golang弱口令爆破工具代码的分析及改进
对一款Golang弱口令爆破工具代码的分析及改进
对一款Golang弱口令爆破工具代码的分析及改进
对一款Golang弱口令爆破工具代码的分析及改进
开源信息收集周报#67
开源信息收集周报#67
开源信息收集周报#67
开源信息收集周报#67
Abusing Application Layer Gateways (NAT Slipstreaming)
You might have heard about “NAT Slipstreaming” by Samy Kamkar. It’s an amazing technique that allows punching a hole in your routers firewall by just visiting a website.
The attack depends on the router having the Application Layer Gateway enabled. This gateway can be used by anyone inside your network to open a firewall port (totally by design). Protocols such as SIP (Session Initiation Protocol) use it.
What I will focus on in this post is the Application Layer Gateway (ALG) and SIP. In particular to understand how these can be abused by an adversary.