cybersecurity
cybersecurity

cybersecurity

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology cybersecurity Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing Mobile devices Privacy Research School of Engineering

Enabling privacy-preserving AI training on everyday devices

A new method could bring more accurate and efficient AI models to high-stakes applications like health care and finance, even in under-resourced settings.

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Enhancing maritime cybersecurity with technology and policy

Strahinja Janjusevic brings an international perspective and US Naval Academy education to his graduate research in the MIT Technology and Policy Program.

Artificial Intelligence Broad Institute Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology cybersecurity Electrical engineering and computer science (EECS) Ethics Health Care Health sciences and technology Human-computer interaction Institute for Medical Engineering and Science (IMES) Jameel Clinic Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Privacy Public health Research School of Engineering Technology and society

MIT scientists investigate memorization risk in the age of clinical AI

New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.

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New MIT program to train military leaders for the AI age

The new certificate program will equip naval officers with skills needed to solve the military’s hardest problems.

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Lincoln Lab unveils the most powerful AI supercomputer at any US university

Optimized for generative AI, TX-GAIN is driving innovation in biodefense, materials discovery, cybersecurity, and other areas of research and development.

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Cybersecurity in FinTech: Protecting Digital Finance from Emerging Threats

Cybersecurity is essential in the rapidly evolving FinTech landscape, ensuring trust in digital finance. Threats like phishing, malware, and insider attacks pose significant risks. Best practices include zero-trust security, behavioral biometrics, and …

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology cybersecurity Data Department of Defense (DoD) Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing Privacy Research School of Engineering

New method efficiently safeguards sensitive AI training data

The approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology cybersecurity Electrical engineering and computer science (EECS) Interview machine learning MIT Schwarzman College of Computing School of Engineering Staff

3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities

MIT CSAIL Principal Research Scientist Una-May O’Reilly discusses how she develops agents that reveal AI models’ security weaknesses before hackers do.

Artificial Intelligence cybersecurity Data Electrical engineering and computer science (EECS) Electronics Light machine learning MIT Schwarzman College of Computing Photonics Privacy Research Research Laboratory of Electronics School of Engineering

New security protocol shields data from attackers during cloud-based computation

The technique leverages quantum properties of light to guarantee security while preserving the accuracy of a deep-learning model.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) cybersecurity Electrical Engineering & Computer Science (eecs) Interview machine learning Media Lab MIT Schwarzman College of Computing Policy Privacy School of Architecture and Planning School of Engineering social media Social networks

3 Questions: How to prove humanity online

AI agents could soon become indistinguishable from humans online. Could “personhood credentials” protect people against digital imposters?