Hacker News
- Attacking Machine Learning with Adversarial Examples https://blog.openai.com/adversarial-example-research/ 8 comments
Linking pages
- Software 2.0. I sometimes see people refer to neural… | by Andrej Karpathy | Medium https://karpathy.medium.com/software-2-0-a64152b37c35 409 comments
- Software 2.0. I sometimes see people refer to neural… | by Andrej Karpathy | Medium https://medium.com/@karpathy/software-2-0-a64152b37c35 409 comments
- Self-driving cars are headed toward an AI roadblock - The Verge https://www.theverge.com/2018/7/3/17530232/self-driving-ai-winter-full-autonomy-waymo-tesla-uber 252 comments
- Magic AI: these are the optical illusions that trick, fool, and flummox computers - The Verge http://www.theverge.com/2017/4/12/15271874/ai-adversarial-images-fooling-attacks-artificial-intelligence 91 comments
- GitHub - daviddao/awful-ai: 😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness https://github.com/daviddao/awful-ai 43 comments
- AI Safety via Debate https://blog.openai.com/debate/ 17 comments
- How to Automate Surveillance Easily with Deep Learning | by Bharath Raj | NanoNets | Medium https://medium.com/nanonets/how-to-automate-surveillance-easily-with-deep-learning-4eb4fa0cd68d 8 comments
- Spam detection in the physical world https://blog.openai.com/spam-detection-in-the-physical-world/ 6 comments
- GitHub - anishathalye/obfuscated-gradients: Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples https://github.com/anishathalye/obfuscated-gradients 4 comments
- AI Solutionism. Machine learning has huge potential for… | by Slava Polonski, PhD | Towards Data Science https://towardsdatascience.com/risks-of-ai-solutionism-dangers-of-machine-learning-and-artificial-intelligence-in-politics-and-government-728b7577a243 0 comments
- Interview with James Bridle about human deskilling and machine understanding – We Make Money Not Art http://we-make-money-not-art.com/failing-to-distinguish-between-a-tractor-trailer-and-the-bright-white-sky/ 0 comments
- How Will Artificial Intelligence Affect the Risk of Nuclear War? https://singularityhub.com/2018/05/28/how-will-artificial-intelligence-affect-the-risk-of-nuclear-war/ 0 comments
- AI in 2018 for researchers. Ciao everyone! 2017 was one of the most… | by Alex Honchar | Good Audience http://medium.com/@alexrachnog/ai-in-2018-for-researchers-8955df0caaf9 0 comments
- Fooling Fintech AIs Part 2: How to fool the machines | by Grow | The Grow Blog https://blog.poweredbygrow.com/part-2-how-to-fool-the-machines-2cb0a3914eb0 0 comments
- AI in 2018 for researchers. Ciao everyone! 2017 was one of the most… | by Alex Honchar | Good Audience https://blog.goodaudience.com/ai-in-2018-for-researchers-8955df0caaf9 0 comments
- How Adversarial Attacks Work. Recent studies by Google Brain have… | by Roman Trusov | XIX.ai, Inc. | Medium https://medium.com/xix-ai/how-adversarial-attacks-work-87495b81da2d 0 comments
- Understanding objective functions in neural networks. | by Lars Hulstaert | Towards Data Science https://towardsdatascience.com/understanding-objective-functions-in-neural-networks-d217cb068138 0 comments
- Modern Theory of Deep Learning: Why Does It Work so Well | by Dmytrii S. | ML Review https://medium.com/mlreview/modern-theory-of-deep-learning-why-does-it-works-so-well-9ee1f7fb2808 0 comments
- Why AI can't solve everything http://theconversation.com/why-ai-cant-solve-everything-97022 0 comments
- Understanding and Reducing Bias in Machine Learning | by Jaspreet | Towards Data Science https://towardsdatascience.com/understanding-and-reducing-bias-in-machine-learning-6565e23900ac 0 comments
Linked pages
- ChatGPT https://chat.openai.com/ 742 comments
- OpenAI technical goals https://openai.com/blog/openai-technical-goals/ 71 comments
- [1602.02697] Practical Black-Box Attacks against Machine Learning http://arxiv.org/abs/1602.02697 32 comments
- [1312.5602] Playing Atari with Deep Reinforcement Learning http://arxiv.org/abs/1312.5602 10 comments
- https://arxiv.org/abs/1602.01783 7 comments
- [1503.02531] Distilling the Knowledge in a Neural Network https://arxiv.org/abs/1503.02531 5 comments
- [1412.6572] Explaining and Harnessing Adversarial Examples http://arxiv.org/abs/1412.6572 1 comment
- GitHub - cleverhans-lab/cleverhans: An adversarial example library for constructing attacks, building defenses, and benchmarking both https://github.com/openai/cleverhans 0 comments
- [1607.02533] Adversarial examples in the physical world http://arxiv.org/abs/1607.02533 0 comments
- [1312.6199] Intriguing properties of neural networks http://arxiv.org/abs/1312.6199 0 comments
- [1611.03814] Towards the Science of Security and Privacy in Machine Learning https://arxiv.org/abs/1611.03814 0 comments
- Adversarial Attacks on Neural Network Policies http://rll.berkeley.edu/adversarial/ 0 comments
Related searches:
Search whole site: site:blog.openai.com
Search title: Attacking Machine Learning with Adversarial Examples
See how to search.