Maintaining business security is essential for successful businesses and has become one of the biggest challenges in the business development. Typical business security issues include: content-based security, anomalous behavior detection, security in social networks and online ecommerce etc. In recent years, there have seen a dramatic increase in applications of artificial intelligence and data mining techniques to solve business security problems. However, this creates some new security challenges. The new artificial intelligent system itself may become a vulnerable and lucrative target to attackers. The AIBS 2019 workshop aims at providing a venue for presenting and discussing new developments to make the business more secure using AI techniques even when adversary adapts.

The workshop will bring together researchers from both computer security and machine learning communities. Our agenda will include contributed papers as well as invited talks from distinguished researchers in these joint areas. Moreover, the top-3 winner’s solutions from each track of the IJCAI-2019 Alibaba Adversarial AI Challenge (AAAC 2019) will also be presented. In addition, sufficient discussion time will be added to encourage linkages between researches in different sub-communities in order to establish new connections and long-term collaborations. We hope that this workshop will help identify new fundamental directions for future research and open a new way towards achieving a more secure business environment.

                Date: August 10th, 2019
                Venue: Naples 2606, Venetian Macao Hotel Resort, Macao, China.

The AIBS workshop will discuss a broad variety of topics related to business security, including but are not restricted to:

• Content-based security, e.g., spam detection, pornography detection etc.
• Copyright violation detection
• Phone-fraud detection
• User authentication, e.g., biometric spoofing, defences and liveness detection etc.
• Human-machine Behaviour Recognition, e.g., design and analysis of CAPTCHAs, botnet detection etc.
• Phishing detection and prevention
• Intrusion detection and response
• Anomalous behaviour detection
• Malware identification
• Business security in social networks and online ecommerce
• Big data and visualization analytics for business security
• Security and privacy of business data

This year, we also welcome papers that address issues related to the AI security:

• Attacks on machine learning systems
  • training time attacks (e.g., data poisoning)
  • test time attacks (e.g., adversarial examples, model stealing)
• Detection of attacks on machine learning systems
• Increasing robustness of machine learning systems
• Explainable A.I.

We encourage participants to submit a paper (3-6 pages without references), describing work on one of the topics mentioned above. All submissions must be in English, include the author’s name(s), affiliation and email address. Please use the official guidelines to format your paper. For formatting guidelines, lateX styles and word template, check https://www.ijcai.org/authors_kit. All submissions can be made through https://easychair.org/conferences/?conf=aibs2019. For Post-proceedings, all the accepted papers of AIBS 2019 will be considered for publication by Springer in a multi-volume set.

Any questions may be directed to the workshop e-mail address: daniel.yuhong@alibaba-inc.com, yuefeng.chenyf@alibaba-inc.com.