Search This Blog
Powered by Blogger.

Blog Archive

Labels

Load More
Trendy Right Now

Popular Posts

Showing posts with label Advanced Technology lab. Show all posts
Tech Safety
Advanced Technology lab AI Chatbots Artifical Intelligence Chat Bot Cyber Security Data Privacy data security LLMs Malicious actor Tech Safety

AI Chatbots' Growing Concern in Bioweapon Strategy

Chatbots powered by artificial intelligence (AI) are becoming more advanced and have rapidly expanding capabilities. This has sparked worries that they might be used for bad things like plotting bioweapon attacks.

According to a recent RAND Corporation paper, AI chatbots could offer direction to help organize and carry out a biological assault. The paper examined a number of large language models (LLMs), a class of AI chatbots, and discovered that they were able to produce data about prospective biological agents, delivery strategies, and targets.

The LLMs could also offer guidance on how to minimize detection and enhance the impact of an attack. To distribute a biological pathogen, for instance, one LLM recommended utilizing aerosol devices, as this would be the most efficient method.

The authors of the paper issued a warning that the use of AI chatbots could facilitate the planning and execution of bioweapon attacks by individuals or groups. They also mentioned that the LLMs they examined were still in the early stages of development and that their capabilities would probably advance with time.

Another recent story from the technology news website TechRound cautioned that AI chatbots may be used to make 'designer bioweapons.' According to the study, AI chatbots might be used to identify and alter current biological agents or to conceive whole new ones.

The research also mentioned how tailored bioweapons that are directed at particular people or groups may be created using AI chatbots. This is so that AI chatbots can learn about different people's weaknesses by being educated on vast volumes of data, including genetic data.

The potential for AI chatbots to be used for bioweapon planning is a serious concern. It is important to develop safeguards to prevent this from happening. One way to do this is to develop ethical guidelines for the development and use of AI chatbots. Another way to do this is to develop technical safeguards that can detect and prevent AI chatbots from being used for malicious purposes.

Chatbots powered by artificial intelligence are a potent technology that could be very beneficial. The possibility that AI chatbots could be employed maliciously should be taken into consideration, though. To stop AI chatbots from organizing and carrying out bioweapon strikes, we must create protections.

Read more »
Threat Intelligence
Advanced Technology lab Artificial Inteligence Computer Vision Model Technology Threat Intelligence

Meta Publishes FACET Dataset to Assess AI Fairness

 

FACET, a benchmark dataset designed to aid researchers in testing computer vision models for bias, was released by Meta Platforms Inc. earlier this week. 

FACET is being launched alongside an update to the open-source DINOv2 toolbox. DINOv2, which was first released in April, is a set of artificial intelligence models aimed to help with computer vision projects. DINOv2 is now accessible under a commercial licence, thanks to recent upgrades. 

Meta's new FACET dataset is intended to aid researchers in determining whether a computer vision model is producing biased results. The company explained in a blog post that measuring AI fairness is difficult using current benchmarking methodologies. FACET, according to Meta, will make the work easier by providing a big evaluation dataset that researchers may use to audit various types of computer vision models. 

"The dataset is made up of 32,000 images containing 50,000 people, labelled by expert human annotators for demographic attributes (e.g., perceived gender presentation, perceived age group), additional physical attributes (e.g., perceived skin tone, hairstyle) and person-related classes (e.g., basketball player, doctor),” Meta researchers explained in the blog post. "FACET also contains person, hair, and clothing labels for 69,000 masks from SA-1B."

Researchers can test a computer vision model for fairness flaws by running it through FACET. They can then do an analysis to see if the accuracy of the model's conclusions varies across images. Such changes in accuracy could indicate that the AI is biased. According to Meta, FACET can be used to detect fairness imperfections in four different types of computer vision models. The dataset can be used by researchers to discover bias in neural networks optimised for classification, which is the task of grouping similar images together. It also makes evaluating object detection models easier. These models are intended to detect items of interest in images automatically. 

FACET is especially useful for auditing AI applications that conduct instance segmentation and visual grounding, two specialised object detection tasks. Instance segmentation is the technique of visually highlighting items of interest in a photograph, such as by drawing a box around them. Visual grounding models, in turn, are neural networks that can scan a photo for an object that a user describes in natural language terms. 

"While FACET is for research evaluation purposes only and cannot be used for training, we’re releasing the dataset and a dataset explorer with the intention that FACET can become a standard fairness evaluation benchmark for computer vision models,” Meta’s researchers added.

Along with the introduction of FACET, Meta changed the licence of their DINOv2 series of open-source computer vision models to an Apache 2.0 licence. The licence permits developers to use the software for both academic and commercial applications.

Meta's DINOv2 models are intended to extract data points of interest from photos. Engineers can use the retrieved data to train other computer vision models. DINOv2 is much more accurate, according to Meta than a previous-generation neural network constructed for the identical task in 2021.
Read more »
IOActive
Advanced Technology lab Cheltenham cyber park Cyber Security Cyber Security Lab GCHQ IOActive

A New Cyber Security Laboratory Opens in Cheltenham


A cutting-edge cyber security laboratory has recently been inaugurated in Cheltenham, near GCHQ, the UK’s intelligence agency.

The facility spans over 5,000 sq ft (464 sq meters), and the firm behind it, IOActive claims it to be the first privately-owned lab of its size anywhere in the world.

The company says in a statement that, “IOActive is thrilled to announce the grand opening of our newest addition, a purpose-built cybersecurity testing facility in Cheltenham UK. The facility is over 5200 square feet of dedicated secure office space, and equipment supporting the assessment/testing of IIoT, IoT, OT, ICS, SCADA and embedded devices.”

"With the opening of the new state-of-the-art facility – IOActive continues to build on our global footprint for lab facilities and expands our testing capabilities. We continue to strive to connect with the cybersecurity/research communities, as we follow our vision to making the world a safer place: conducting the research that fuels our security services to help you strengthen your security and operational posture and resiliency," the firm added.

The lab’s prime goal is to test vulnerability of vehicles, private jets, and aircraft engines. With this, the laboratory aims on strengthening industrial systems against malicious cyber activities.

By carefully navigating a cherry picker inside the lab's expansive facilities at the launch event, the facility demonstrated its capabilities and implied its ability to support extensive testing.

Securing Industrial Control Systems

IOActive further acknowledged threats pertaining to a vulnerable industrial control systems of being hacked. They noted that there is a need for safeguarding interfaces between controllers and devices. Ivan Reedman, Director of Secure Engineering at IOActive also emphasized the potential appalling consequences and negligence on the issue may lead to, one being compromised systems.

He stressed on the significance of establishing robust security measures to protect these critical systems. The lab's focus on ensuring the integrity and resilience of industrial control systems marks a significant step towards fortifying them against evolving cyber threat.

Significance of the Laboratory

The creation of the cyber security lab represents an important step toward the larger goal of creating a cyber park on the outskirts of Cheltenham, close to GCHQ. With the aid of necessary infrastructure including healthcare, housing, and recreational areas, this envisioned cyber park aspires to foster cyber-related enterprises and educational activities.

The development of the park would produce a vast ecosystem that fosters creativity, teamwork, and the advancement of cybersecurity expertise. The laboratory is an important first step in achieving this goal and reaffirms Cheltenham's status as a center for cutting-edge cybersecurity research and development.

Inauguration of the state-of-the-art cyber security laboratory in Cheltenham further ensures a significant boost in safeguarding important systems against violent cyber threats. Securing automobiles, aircraft, and industrial control systems becomes crucial in a time of a rapid technological advancement. The advancement of the safety and integrity of these systems depends critically on the laboratory's capacity to carry out extensive testing and spot flaws. The cybersecurity sector has made incredible strides in making the world a safer place by committing to strengthening interfaces and resolving vulnerabilities.  

Read more »
Subscribe to: Posts (Atom)