PPT-DeepXplore: Automated Whitebox Testing of Deep Learning Systems

Author : alexa-scheidler | Published Date : 2018-11-20

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

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DeepXplore: Automated Whitebox Testing of Deep Learning Systems: Transcript

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. Alex . Groce. , Alan Fern, Jervis Pinto, Tim Bauer, Mohammad Amin . Alipour. , Martin . Erwig. and Camden . Lopez. Oregon State University. Part I: Lightweight Testing. API-Based Testing. Stateful. software system. 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). By Rohen Shah – rxs07u. Introduction. Different methodologies used. Different types of testing tools. Most commonly used testing . tools. Summary. Testing Tools. Humans are prone to make mistakes and so may not be as efficient i.e. missing out code that causes error in program.. on . Vehicle-Highway Automation. 19th . Annual Meeting. WELCOME. INTRODUCTION. What is ITFVHA?. A forum to discuss government-industry roles in development and deployment of advanced driver assistance systems. 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?. Continuous. Scoring in Practical Applications. Tuesday 6/28/2016. By Greg Makowski. Greg@Ligadata.com. www.Linkedin.com/in/GregMakowski. Community @. . http. ://. Kamanja.org. . . Try out. Future . CS-4700 Introduction. 2. I . Emergence of . (semi-)intelligent autonomous. systems in society. . . . --- Self-driving cars and trucks. Autonomous drones.. . Virtual assistants. Fully . Prabhat. Data Day. August 22, 2016. Roadmap. Why you should care about Machine Learning?. Trends in Industry. Trends in Science . What is Machine Learning?. Taxonomy. Methods. Tools (Evan . Racah. ). 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”. V. . Kain. , M. Fraser, B. Goddard, S. . Hirlander. , M. Schenk, F. . Velotti. CERN, EPFL, University of Malta. Lots of input from S. Levine’s lectures on Deep Reinforcement Learning at UC Berkeley .

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