Explore the vulnerabilities of deep learning systems in this comprehensive conference talk from GrrCon 2016. Delve into the world of hacking machine learning, focusing on deep learning techniques and their widespread applications. Understand neural networks, convolutional networks, and recurrent neural networks, along with their roles in text generation, speech recognition, and long-term memory. Discover the potential attack vectors in the text economy and learn about blind spots in machine learning models. Examine three key steps and methods for exploiting deep learning systems, including transferability and substitute models. Gain insights into false assumptions and privacy concerns surrounding deep learning technologies. Conclude with a Q&A session to address specific inquiries about machine duping and pwning deep learning systems.