Sep 23–26, 2019

Schedule: Privacy and Security sessions

Recent regulations in Europe (GDPR) and California (Consumer Privacy Act) have placed concepts like “user control” and “privacy-by-design” at the forefront for companies wanting to deploy ML. The good news is that there are new privacy-preserving tools and techniques – including differential privacy – that are becoming available for both business intelligence and ML applications.

  • Data security and privacy: A recent white paper from the Hoover Institution observed that we are beginning to see the convergence of data privacy and security. This is an age when companies are guarding against the misuse of data, either by adversaries or by parties they presently trust but may not longer do so in the future: “Anyone, from a privacy perspective, can become an adversary, given enough time.”
  • The use of data, analytics, and machine learning in security and cybersecurity.
  • Secure and robust analytics, including secure machine learning and aspects of machine deception (such as machines deceiving machines, or people deceiving machines).
9:00am12:30pm Tuesday, September 24, 2019
Location: 1E 15/16
Mark Donsky (Okera), Lars George (Okera), Michael Ernest (Dataiku), Ifigeneia Derekli (Cloudera)
New regulations drive compliance, governance, and security challenges for big data. Infosec and security groups must ensure a secured and governed environment across workloads that span on-premises, private cloud, multicloud, and hybrid cloud. Mark Donsky, Lars George, Michael Ernest, and Ifigeneia Derekli outline hands-on best practices for meeting these challenges with special attention to CCPA. Read more.
1:30pm5:00pm Tuesday, September 24, 2019
Location: 1E 08
Carolyn Duby (Cloudera), Madhan Neethiraj (Cloudera), Michael Gregory (Cloudera), Sangeeta Doraiswamy (cloudera)
Bring your laptop, roll up your sleeves, and get ready to crunch some cybersecurity events with Apache Metron, an open source big data cybersecurity platform. Carolyn Duby walks you through how Metron finds actionable events in real time. Read more.
11:20am12:00pm Wednesday, September 25, 2019
Location: 1E 09
Steven Touw (Immuta)
Anti-patterns are behaviors that take bad problems and lead to even worse solutions. In the world of data security and privacy, they’re everywhere. Over the past four years, data security and privacy anti-patterns have emerged across hundreds of customers and industry verticals—there's been an obvious trend. Steven Touw details five anti-patterns and, more importantly, the solutions for them. Read more.
1:15pm1:55pm Wednesday, September 25, 2019
Location: 1E 09
The Apache Parquet community is working on a column encryption mechanism that protects sensitive data and enables access control for table columns. Many companies are involved, and the mechanism specification has recently been signed off on by the community management committee. Gidon Gershinsky explores the basics of Parquet encryption technology, its usage model, and a number of use cases. Read more.
1:15pm1:55pm Wednesday, September 25, 2019
Location: 1E 14
Andrew Burt (Immuta), Brenda Leong (Future of Privacy Forum), David Florsek (IDEMIA NSS), Alex Beutel (Google Brain), Chris Wheeler (Mastercard)
Machine learning techniques are being deployed across almost every industry and sector. But this adoption comes with real, and oftentimes underestimated, privacy and security risks. Andrew Burt and Brenda Leong convene a panel of experts including David Florsek, Chris Wheeler, and Alex Beutel to detail real-life examples of when ML goes wrong, and the lessons they learned. Read more.
2:05pm2:45pm Wednesday, September 25, 2019
Location: 1A 12/14
Mikio Braun (Zalando)
With ML becoming more mainstream, the side effects of machine learning and AI on our lives become more visible. You have to take extra measures to make machine learning models fair and unbiased. And awareness for preserving the privacy in ML models is rapidly growing. Mikio Braun explores techniques and concepts around fairness, privacy, and security when it comes to machine learning models. Read more.
2:05pm2:45pm Wednesday, September 25, 2019
Location: 1E 14
Andrew Burt (Immuta), Brenda Leong (Future of Privacy Forum), Boris Segalis (Cooley), Susan Israel (Loeb & Loeb, LLP)
From the EU to California and China, more of the world is regulating how data can be used. Andrew Burt and Brenda Leong convene leading experts on law and data science for a deep dive into ways to regulate the use of AI and advanced analytics. Come learn why these laws are being proposed, how they’ll impact data, and what the future has in store. Read more.
2:55pm3:35pm Wednesday, September 25, 2019
Location: 1E 09
Marcus Fowler (Darktrace)
Cybersecurity must find what it doesn’t know to look for. AI technologies led to the emergence of self-learning, self-defending networks that achieve this—detecting and autonomously responding to in-progress attacks in real time. Marcus Fowler examine these cyber-immune systems enable the security team to focus on high-value tasks, counter even machine-speed threats, and work in all environments. Read more.
2:55pm3:35pm Wednesday, September 25, 2019
Location: 1E 14
Mark Hinely (KirkpatrickPrice)
The fear that comes along with new compliance requirements is overwhelming. Organizations don’t know where to start, what to fix, or what an auditor expects to see. Mark Hinely gives you an auditor's perspective on the newest security and privacy regulations, how your business can prepare for compliance, and what the audit looks like to an auditor. Read more.
4:35pm5:15pm Wednesday, September 25, 2019
Location: 1E 09
Jeff Zemerick (Mountain Fog)
Hospitals small and large are adopting cloud technologies, and many are in hybrid environments. These distributed environments pose challenges, none of which are more critical than the protection of protected health information (PHI). Jeff Zemerick explores how open source technologies can be used to identify and remove PHI from streaming text in an enterprise healthcare environment. Read more.
5:25pm6:05pm Wednesday, September 25, 2019
Location: 1E 09
Matt Carothers (Cox Communications), Jignesh Patel (Cox Communications), Harry Tang (Cox Communications)
Organizations often work with sensitive information such as social security and credit card numbers. Although this data is stored in encrypted form, most analytical operations require data decryption for computation. This creates unwanted exposures to theft or unauthorized read by undesirables. Matt Carothers, Jignesh Patel, and Harry Tang explain how homomorphic encryption prevents fraud. Read more.
5:25pm6:05pm Wednesday, September 25, 2019
Location: 1E 10/11
Alasdair Allan (Babilim Light Industries)
The arrival of a new generation of smart embedded hardware may cause the demise of large-scale data harvesting. In its place, smart devices will let us process data at the edge and extract insights without storing potentially privacy and GDPR infringing data. Join Alasdair Allan to learn why the current age where privacy is no longer "a social norm" may not long survive the coming of the IoT. Read more.
2:05pm2:45pm Thursday, September 26, 2019
Location: 1E 09
Tomer Shiran (Dremio), Jacques Nadeau (Dremio)
With cheap and scalable storage services such as S3 and ADLS, it's never been easier to dump data into a cloud data lake. But you still need to secure that data and be sure it doesn't leak. Tomer Shiran and Jacques Nadeau explore capabilities for securing a cloud data lake, including authentication, access control, encryption (in motion and at rest), and auditing, as well as network protections. Read more.
3:45pm4:25pm Thursday, September 26, 2019
Location: 1E 09
Owen O'Malley (Cloudera)
Fine-grained data protection at a column level in data lake environments has become a mandatory requirement to demonstrate compliance with multiple local and international regulations across many industries today. Owen O'Malley dives into how column encryption in ORC files enables both fine-grain protection and audits of who accessed the private data. Read more.
4:35pm5:15pm Thursday, September 26, 2019
Location: 1E 14
Mark Donsky (Okera)
California is following the EU's GDPR with the California Consumer Protection Act (CCPA) in 2020. Penalties for non-compliance, but many companies aren't prepared for this strict regulation. This session will explore the capabilities your data environment needs in order to simplify CCPA and GDPR compliance, as well as other regulations. Read more.

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