In-Person Event

Black Hat USA 2018

Black Hat, now in its 21st year, is a leading information security event that provides participants with the very latest in research, development and security trends. This year’s event includes four days of technical trainings (Aug. 4-7), followed by the two-day main conference (Aug. 8-9).

Learn more and register to attend Black Hat 2018

We invite you to visit the IBM Security Lounge at Booth 2104 to meet the IBM experts and see a host of solution offerings, and to attend the following conference sessions:

Outsmarting the Smart City

Who: Daniel Crowley, Head of Research, X-Force Red, IBM Security
When: Thurs., July 9 | 12:10 p.m. – 1:00 p.m.
Where: Islander EI
What: The term “smart city” evokes imagery of flying cars, shop windows that double as informational touchscreens, and other retro-futuristic fantasies of what the future may hold. Stepping away from the smart city fantasy, the reality is actually much more mundane. Many of these technologies have already quietly been deployed in cities across the world. In this talk, we examine the security of a cross-section of smart city devices currently in use today to reveal how deeply flawed they are and how the implications of these vulnerabilities could have serious consequences. 

Adversarial Robustness Toolbox for Machine Learning Models

Who: Irina Nicolae, Machine Learning Researcher, IBM Research
When: Thurs., July 9 | 1:45 p.m. – 2:45 p.m.
Where: Business Hall (Oceanside), Arsenal Theater
What: Adversarial attacks of machine learning systems have become an undisputable threat, and devising comprehensive defences against poisoning and evasion attacks by adaptive adversaries is still an open challenge. In this session we will present the Adversarial Robustness Toolbox (ART), a library which allows rapid crafting and analysis of both attacks and defence methods for machine learning models. It provides an implementation for many state-of-the-art methods for attacking and defending machine learning. Through ART, attendees will (re)discover how to attack and defend machine learning systems.

Foxtrot C2: A Journey of Payload Delivery

Who: Dimitry Snezhkov, Security Consultant, IBM Security
When: Thurs., July 9 | 2:30 p.m. – 3:50 p.m.
Where: Business Hall (Oceanside), Arsenal Station 9
What: Execution of an offensive payload may begin with a safe delivery of the payload to the endpoint itself. When secure connections in the enterprise are inspected, reliance only on transmission level security may not be enough to accomplish that goal. Foxtrot C2 serves one goal: safe last mile delivery of payloads and commands between the external network and the internal point of presence, traversing intercepting proxies, with the end-to-end application level encryption.

DeepLocker: Concealing Targeted Attacks with AI Locksmithing

Who: Marc Ph. Stoecklin, Principal RSM and Manager, Cognitive Cybersecurity Intelligence, IBM Research
When: Thurs., July 9 | 5:00 p.m. – 6:00 p.m.
Where: South Seas ABE
What: DeepLocker is a novel class of highly targeted and evasive malware powered by artificial intelligence (AI), which is trained to reason about its environment and is able to unleash its malicious behavior only when it recognizes its target. In this session we will demonstrate how DeepLocker learns to recognize a specific target, concealing its attack payload in benign carrier applications until the intended target is identified. DeepLocker leverages various attributes for target identification, including visual, audio, geolocation and system features.

Learn more and register to attend Black Hat 2018