Malware and Machine Learning – A Match Made in Hell | Mikko Hyppönen | AI for Good

Channel:
Subscribers:
19,700
Published on ● Video Link: https://www.youtube.com/watch?v=QatEnxkk2Aw



Duration: 0:00
408 views
5


Technology shapes the world. The more successful a new technology becomes, the more reliant we will become of it. This has always happened and will happen in the future too. Widespread machine learning technologies are here and it’s exciting and scary at the same time. Our time will be remembered as a time when true revolution started in the world of artificial intelligence. Defenders have been using machine learning for years. How long will it take before attackers start using AI and machine learning in large scale? Can malware reprogram its own code to escape detection? Will phishing attacks be able to detect what works and adjust accordingly? Can attackers poison the learning data used by defenders? Are we about to enter a new era of self-aware malware? And most importantly, how are going to fight these attacks?

Website: https://aiforgood.itu.int/
Twitter: https://twitter.com/ITU_AIForGood
LinkedIn Page: https://www.linkedin.com/company/26511907
LinkedIn Group: https://www.linkedin.com/groups/8567748
Instagram: https://www.instagram.com/aiforgood
Facebook: https://www.facebook.com/AIforGood




Other Videos By AI for Good


2021-05-06The Potential of ML to Address Spatial Reuse in Future IEEE 802.11 WLANs | AI/ML IN 5G CHALLENGE
2021-05-03AI for Good in Action – Crowdsourcing AI for Future Resilience – Part 3 | AI FOR GOOD WEBINARS
2021-04-28Multidevice Localization with mmWave Signals in Factory Environments | AI/ML in 5G Challenge
2021-04-28Trustworthy AI: Adversarial Attacks and Defences | AI FOR GOOD DISCOVERY
2021-04-26Satellite Data Analysis and Machine Learning Classification with QGIS Part 1 | AI FOR GOOD WEBINARS
2021-04-26Geospatial AI/ML Applications and Policies – A Global Perspective | AI FOR GOOD WEBINARS
2021-04-26AI for Heart Attack Prevention | AI FOR GOOD
2021-04-25Towards Autonomous 6G Networks and the Role of Advanced ML Techniques | AI/ML in 5G Challenge
2021-04-22AI for Good 2020 Highlights | AI FOR GOOD
2021-04-21Trustworthy AI: Steps Toward Trustworthy Machine Learning | AI FOR GOOD DISCOVERY
2021-04-20Malware and Machine Learning – A Match Made in Hell | Mikko Hyppönen | AI for Good
2021-04-19Creating Safe Digital Spaces for all Through Esports and AI | AI FOR GOOD WEBINARS
2021-04-14Trustworthy AI: Towards Auditable AI Systems | AI FOR GOOD DISCOVERY
2021-04-07Crowdsourcing AI for Future Resilience Part 2 | AI FOR GOOD WEBINARS
2021-04-06AI for sustainable transformation in smart cities, mobility & energy | AI FOR GOOD WEBINARS
2021-03-30Trustworthy AI: Adversarially (non-)Robust ML | Nicholas Carlini Google AI | AI FOR GOOD DISCOVERY
2021-03-22AI for Good in Action – Crowdsourcing AI for Future Resilience | AI FOR GOOD WEBINARS
2021-03-18Jean-Philippe Courtois | President Microsoft Global Sales | AI FOR GOOD GLOBAL SUMMIT 2019 ARCHIVES
2021-03-18Towards transparency in AI: methods and challenges | Timnit Gebru | Co-founder of Black in AI
2021-03-18Jim Hagemann Snabe | Chairman at Siemens and Maersk | AI FOR GOOD GLOBAL SUMMIT 2019 ARCHIVES
2021-03-18Yves Daccord | International Committee of the Red Cross | AI FOR GOOD GLOBAL SUMMIT 2019 ARCHIVES