PPT-DeepXplore: Automated Whitebox Testing of Deep Learning Systems

Kexin Pei 1 Yinzhi Cao 2 Junfeng Yang 1 Suman Jana 1 1 Columbia University 2 Lehigh University 1 Deep learning DL has matched human performance Image recognition speech recognition machine translation intrusion detection. Automated testing always results in improved software quality 2 Every application development project or testing team can use automated testing tools 3 Automated testing is an all or nothing proposition brPage 3br Three Realities of Automated Testin com Michael Y Levin Microsoft CSE mlevinmicrosoftcom David Molnar UC Berkeley dmolnareecsberkeleyedu Abstract Fuzz testing is an effective technique for 64257nding security vulnerabilities in software Traditionally fuzz testing tools apply random mut Bindu Laxminarayan. bindu@hexbytes.com. Design Patterns in Automated Testing. Test Automation. Design Patterns . Zen Cart Shopping Application. Component Pattern. Template . Design Pattern. Domain Test . Edison CTO Executive Meeting, 2009. Scott Fraser, CTO/Co-Founder. Portico Systems. Automated Builds at Portico – Anthill. Anthill Pro. Automated Build Workflow at Portico. Build FAIL Fun. Build FAIL Spawn. Donna Moy . dxm06u. Test Planning and Preparation. Presentation Content. Introduction to test planning and preparation. Why is planning and preparation important?. Types of Automated Testing. Choosing what to Automate (Automation Checklist). Professor Qiang Yang. Outline. Introduction. Supervised Learning. Convolutional Neural Network. Sequence Modelling: RNN and its extensions. Unsupervised Learning. Autoencoder. Stacked . Denoising. . Presenter: . Yanming. . Guo. Adviser: Dr. Michael S. Lew. Deep learning. Human. Computer. 1:4. Human . v.s. . Computer. Deep learning. Human. Computer. 1:4. Human . v.s. . Computer. Deep Learning. Why better?. REGRESSION . TESTING. - Sriram Angajala. SKILLS MATTER – 11 AUG 2016. https://uk.linkedin.com/in/sriram-angajala-91a77852. Sriram.angajala@gmail.com. Sriram . Angajala . Agenda. Introduction. Why VRT?. The Future of Real-Time Rendering?. 1. Deep Learning is Changing the Way We Do Graphics. [Chaitanya17]. [Dahm17]. [Laine17]. [Holden17]. [Karras17]. [Nalbach17]. Video. “. Audio-Driven Facial Animation by Joint End-to-End Learning of Pose and Emotion”. CS 501:CS Seminar. Min Xian. Assistant Professor. Department of Computer Science. University of Idaho. Image from NVIDIA. Researchers:. Geoff Hinton. Yann . LeCun. Andrew Ng. Yoshua. . Bengio. …. The Build Alpha is a genetic trading software that offers a wide range of clients to use the best systematic trading strategies based on user-selected fitness functions such as net profits, overall risk, etc. and test criteria. Build Alpha was created in order to help professional traders, money managers, and institutional investors create countless robust strategies to meet their own risk criterion across asset classes. Aaron Crandall, 2015. What is Deep Learning?. Architectures with more mathematical . transformations from source to target. Sparse representations. Stacking based learning . approaches. Mor. e focus on handling unlabeled data. Garima Lalwani Karan Ganju Unnat Jain. Today’s takeaways. Bonus RL recap. Functional Approximation. Deep Q Network. Double Deep Q Network. Dueling Networks. Recurrent DQN. Solving “Doom”.