QCon10Years
SAVE THE DATE FOR QCON SF 2018

Conference: Nov 5-7, 2018
Workshops: Nov 8–9, 2018

Speaker: Prof. Dawn Song

Professor @UCBerkeley, Researching Deep Learning & Security

Dawn Song is a Professor in the Department of Electrical Engineering and Computer Science at UC Berkeley. Her research interest lies in deep learning and security. She has studied diverse security and privacy issues in computer systems and networks, including areas ranging from software security, networking security, database security, distributed systems security, applied cryptography, to the intersection of machine learning and security. She is the recipient of various awards including the MacArthur Fellowship, the Guggenheim Fellowship, the NSF CAREER Award, the Alfred P. Sloan Research Fellowship, the MIT Technology Review TR-35 Award, the George Tallman Ladd Research Award, the Okawa Foundation Research Award, the Li Ka Shing Foundation Women in Science Distinguished Lecture Series Award, the Faculty Research Award from IBM, Google and other major tech companies, and Best Paper Awards from top conferences. She obtained her Ph.D. degree from UC Berkeley. Prior to joining UC Berkeley as a faculty, she was an Assistant Professor at Carnegie Mellon University from 2002 to 2007.

Find Prof. Dawn Song at

https://people.eecs.berkeley.edu/~dawnsong/

Talk: AI & Security: Lessons and Challenges

Track: Security: Attacking and Defending
Location: Bayview AB
Day of week: Wednesday
Duration: 4:10pm - 5:00pm

In this talk, I will first present recent results in the area of secure deep learning, in particular, adversarial deep learning---how deep learning systems could be easily fooled and what we need to do to address the issues. I will also talk about how AI and deep learning can help enable new capabilities in security applications. Finally, I will conclude with key challenges and future directions at the intersection of AI and Security: how AI and deep learning can enable better security, and how Security can enable better AI.

Other talks from track Security: Attacking and Defending

Control Flow Integrity Using Hardware Counters
Chief Technology Officer @Endgame
Jamie Butler
Control Flow Integrity Using Hardware Counters
Director of Vulnerability Research @Endgame
Cody Pierce
From Threat Hunting to Crowd Defense
Chief Technology Officer, SVP Research @NSFOCUS
Richard Zhao
The Security Challenges & Issues From SGX Practice
Chief Security Architect @Alibaba Cloud
Xiaoning Li
Towards Memory Safety in Intel SGX Enclave
Security Scientist @Baidu X-Lab
Dr. Yu Ding

.

Tracks

  • Architectures You've Always Wondered About

    Architectural practices from the world's most well-known properties, featuring startups, massive scale, evolving architectures, and software tools used by nearly all of us.

  • Going Serverless

    Learn about the state of Serverless & how to successfully leverage it! Lessons learned in the track hit on security, scalability, IoT, and offer warnings to watch out for.

  • Microservices: Patterns and Practices

    Stories of success and failure building modern Microservices, including event sourcing, reactive, decomposition, & more.

  • DevOps: You Build It, You Run It

    Pushing DevOps beyond adoption into cultural change. Hear about designing resilience, managing alerting, CI/CD lessons, & security. Features lessons from open source, Linkedin, Netflix, Financial Times, & more. 

  • The Art of Chaos Engineering

    Failure is going to happen - Are you ready? Chaos engineering is an emerging discipline - What is the state of the art?

  • The Whole Engineer

    Success as an engineer is more than writing code. Hear inward looking thoughts on inclusion, attitude, leadership, remote working, and not becoming the brilliant jerk.

  • Evolving Java

    Java continues to evolve & change. Track covers Spring 5, async, Kotlin, serverless, the 6-month cadence plans, & AI/ML use cases.

  • Security: Attacking and Defending

    Offense and defensive security evolution that application developers should know about including SGX Enclaves, effects of AI, software exploitation techniques, & crowd defense

  • The Practice & Frontiers of AI

    Learn about machine learning in practice and on the horizon. Learn about ML at Quora, Uber's Michelangelo, ML workflow with Netflix Meson and topics on Bots, Conversational interfaces, automation, and deployment practices in the space.

  • 21st Century Languages

    Compile to Native, Microservices, Machine learning... tailor-made languages solving modern challenges, featuring use cases around Go, Rust, C#, and Elm.

  • Modern CS in the Real World

    Applied trends in Computer Science that are likely to affect Software Engineers today. Topics include category theory, crypto, CRDT's, logic-based automated reasoning, and more.

  • Stream Processing In The Modern Age

    Compelling applications of stream processing using Flink, Beam, Spark, Strymon & recent advances in the field, including Custom Windowing, Stateful Streaming, SQL over Streams.  

SCHEDULE

Conference for Professional Software Developers

Follow QCon

Contact

Menu

QCons around the World

Qcon