Part 1: Social engineering, malware, and the future of cybersecurity in AI | Four Flynn

Google DeepMind · Beginner ·🔐 Cybersecurity ·7mo ago
Social engineering, cyberattacks, and the fog of war - all topics covered in this interview with the VP of Security and Privacy at Google DeepMind. Hannah Fry and Four Flynn take us behind the scenes of Operation Aurora, the monumental 2009 attack on Google that forever changed the landscape of cybersecurity. They discuss the defender's dilemma, the constant battle between attackers and defenders in the digital world, and how AI can potentially help mitigate some of the most complex vulnerabilities. As Hannah said, there was just too much to fit into one episode, so keep an eye on your feed for part 2. If you’re worried about missing it, why not subscribe and turn on notifications for new episodes. Until next time! ___ 00:00 Intro 02:00 Project Aurora 20:48 Defenders dilemma 21:22 Zero Day vulnerabilities 23:49 Kill chain 25:39 LLM vulnerabilities 27:00 Malware and polymorphism 37:00 Big Sleep 45:00 Using AI to fix vulnerabilities (CodeMender) 51:10 Next time ___ Further reading: CodeMender: https://deepmind.google/discover/blog/introducing-codemender-an-ai-agent-for-code-security/ Cybersecurity at Google: https://blog.google/technology/safety-security/ai-security-frontier-strategy-tools/ Threat intelligence report: https://cloud.google.com/blog/topics/threat-intelligence/adversarial-misuse-generative-ai ___ Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Editor: Rami Tzabar Commissioner & Producer: Emma Yousif Music composition: Eleni Shaw Audio engineer: Richard Courtice Video Editor: Bilal Merhi Audio Engineer: Perry Rogantin Visual Identity and Design: Rob Ashley Commissioned by Google DeepMind ____ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://twitter.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/
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1 RL Course by David Silver - Lecture 8: Integrating Learning and Planning
RL Course by David Silver - Lecture 8: Integrating Learning and Planning
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2 RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learning
RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learning
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3 RL Course by David Silver - Lecture 2: Markov Decision Process
RL Course by David Silver - Lecture 2: Markov Decision Process
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4 RL Course by David Silver - Lecture 5: Model Free Control
RL Course by David Silver - Lecture 5: Model Free Control
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5 RL Course by David Silver - Lecture 6: Value Function Approximation
RL Course by David Silver - Lecture 6: Value Function Approximation
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6 RL Course by David Silver - Lecture 4: Model-Free Prediction
RL Course by David Silver - Lecture 4: Model-Free Prediction
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7 RL Course by David Silver - Lecture 3: Planning by Dynamic Programming
RL Course by David Silver - Lecture 3: Planning by Dynamic Programming
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8 RL Course by David Silver - Lecture 10: Classic Games
RL Course by David Silver - Lecture 10: Classic Games
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9 RL Course by David Silver - Lecture 7: Policy Gradient Methods
RL Course by David Silver - Lecture 7: Policy Gradient Methods
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10 Google DeepMind: Ground-breaking AlphaGo masters the game of Go
Google DeepMind: Ground-breaking AlphaGo masters the game of Go
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11 Match 1 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
Match 1 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
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12 Match 2 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
Match 2 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
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13 Match 1 15 min Summary - Google DeepMind Challenge Match
Match 1 15 min Summary - Google DeepMind Challenge Match
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14 Match 3 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
Match 3 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
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15 Match 2 15 Minute Summary - Google DeepMind Challenge Match 2016
Match 2 15 Minute Summary - Google DeepMind Challenge Match 2016
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16 Match 3 15 Minute Summary - Google DeepMind Challenge Match 2016
Match 3 15 Minute Summary - Google DeepMind Challenge Match 2016
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17 Match 4 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
Match 4 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
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18 Match 4 15 Minute Summary - Google DeepMind Challenge Match 2016
Match 4 15 Minute Summary - Google DeepMind Challenge Match 2016
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19 Match 5 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
Match 5 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
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20 Match 5 15 Minute Summary - Google DeepMind Challenge Match 2016
Match 5 15 Minute Summary - Google DeepMind Challenge Match 2016
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21 DQN SPACE INVADERS
DQN SPACE INVADERS
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22 DQN Breakout
DQN Breakout
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23 Asynchronous Methods for Deep Reinforcement Learning: Labyrinth
Asynchronous Methods for Deep Reinforcement Learning: Labyrinth
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24 Asynchronous Methods for Deep Reinforcement Learning: MuJoCo
Asynchronous Methods for Deep Reinforcement Learning: MuJoCo
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25 Asynchronous Methods for Deep Reinforcement Learning: TORCS
Asynchronous Methods for Deep Reinforcement Learning: TORCS
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26 Differentiable neural computer family tree inference task
Differentiable neural computer family tree inference task
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27 StarCraft II DeepMind feature layer API
StarCraft II DeepMind feature layer API
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28 DeepMind Health – Partnership with the Royal Free London NHS Foundation Trust
DeepMind Health – Partnership with the Royal Free London NHS Foundation Trust
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29 DeepMind Health – Michael Wise – a patient's journey
DeepMind Health – Michael Wise – a patient's journey
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30 Streams – a platform for a digital NHS
Streams – a platform for a digital NHS
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31 DeepMind Lab - Nav Maze Level 1
DeepMind Lab - Nav Maze Level 1
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32 DeepMind Lab - Stairway to Melon Level
DeepMind Lab - Stairway to Melon Level
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33 DeepMind Lab - Laser Tag Space Bounce Level (Hard)
DeepMind Lab - Laser Tag Space Bounce Level (Hard)
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34 Exploring the mysteries of Go with AlphaGo and China's top players
Exploring the mysteries of Go with AlphaGo and China's top players
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35 Demis Hassabis on AlphaGo: its legacy and the 'Future of Go Summit' in Wuzhen, China
Demis Hassabis on AlphaGo: its legacy and the 'Future of Go Summit' in Wuzhen, China
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36 The Future of Go Summit: AlphaGo & Ke Jie match 1 moves analysis
The Future of Go Summit: AlphaGo & Ke Jie match 1 moves analysis
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37 The Future of Go Summit: AlphaGo & Ke Jie match 2 moves analysis
The Future of Go Summit: AlphaGo & Ke Jie match 2 moves analysis
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38 The Future of Go Summit: Pair Go moves analysis
The Future of Go Summit: Pair Go moves analysis
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39 The Future of Go Summit: AlphaGo & Ke Jie match 3 moves analysis
The Future of Go Summit: AlphaGo & Ke Jie match 3 moves analysis
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40 Emergence of Locomotion Behaviours in Rich Environments
Emergence of Locomotion Behaviours in Rich Environments
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41 StarCraft II 'mini games' for AI research
StarCraft II 'mini games' for AI research
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42 Trained and untrained agents play StarCraft II full 1vs1 game
Trained and untrained agents play StarCraft II full 1vs1 game
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43 DeepMind open source PySC2 toolset for Starcraft II
DeepMind open source PySC2 toolset for Starcraft II
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44 ICML 2017: Test of Time Award (Sylvain Gelly & David Silver)
ICML 2017: Test of Time Award (Sylvain Gelly & David Silver)
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45 Ke Jie and DeepMind's Go Ambassador Fan Hui review the 3rd AlphaGo vs Ke Jie game
Ke Jie and DeepMind's Go Ambassador Fan Hui review the 3rd AlphaGo vs Ke Jie game
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46 Ke Jie and DeepMind's Go Ambassador Fan Hui review the 1st AlphaGo vs Ke Jie game
Ke Jie and DeepMind's Go Ambassador Fan Hui review the 1st AlphaGo vs Ke Jie game
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47 Ke Jie and DeepMind's Go Ambassador Fan Hui review the 2nd AlphaGo vs Ke Jie game
Ke Jie and DeepMind's Go Ambassador Fan Hui review the 2nd AlphaGo vs Ke Jie game
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48 AlphaGo Zero: Discovering new knowledge
AlphaGo Zero: Discovering new knowledge
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49 AlphaGo Zero: Starting from scratch
AlphaGo Zero: Starting from scratch
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50 Defining principles for tech companies in the NHS: DeepMind Health's Collaborative Listening Summit
Defining principles for tech companies in the NHS: DeepMind Health's Collaborative Listening Summit
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51 A systems neuroscience approach to building AGI - Demis Hassabis, Singularity Summit 2010
A systems neuroscience approach to building AGI - Demis Hassabis, Singularity Summit 2010
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52 Retour de Rémi Munos en France et ouverture de DeepMind Paris
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53 Grid cells - Caswell Barry, UCL
Grid cells - Caswell Barry, UCL
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54 DeepMind Health Research and Moorfields Eye Hospital NHS Foundation Trust: What our research shows
DeepMind Health Research and Moorfields Eye Hospital NHS Foundation Trust: What our research shows
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55 DeepMind Health Research and Moorfields Eye Hospital NHS Foundation Trust: A Patient's Story
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56 Deep Learning 3: Neural Networks Foundations
Deep Learning 3: Neural Networks Foundations
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57 Deep Learning 5: Optimization for Machine Learning
Deep Learning 5: Optimization for Machine Learning
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58 Deep Learning 8: Unsupervised learning and generative models
Deep Learning 8: Unsupervised learning and generative models
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59 Reinforcement Learning 1: Introduction to Reinforcement Learning
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60 Deep Learning 2: Introduction to TensorFlow
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Chapters (10)

Intro
2:00 Project Aurora
20:48 Defenders dilemma
21:22 Zero Day vulnerabilities
23:49 Kill chain
25:39 LLM vulnerabilities
27:00 Malware and polymorphism
37:00 Big Sleep
45:00 Using AI to fix vulnerabilities (CodeMender)
51:10 Next time
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