final Program > june 21st

Time 

Monday, June 21th

12:00
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13:20 (GMT+01)


:00
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:20 ()

Doctoral Forum

Towards Automated Software Testing with Generative Adversarial Networks

  Xiujing Guo (Graduate School of Advanced Science and Engineering, Hiroshima University, Hiroshima,   Japan)

13:30
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14:10 (GMT+01)


:30
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:10 ()

Dependable and Secure Machine Learning (DSML 2021)

● Keynote 1

  Chair : Homa Alemzadeh

  Presenter : Tao Xie(Peking University)

● Keynote 2

  Chair : Karthik Pattabiraman

  Presenter : Michael Paulitsch (Intel Labs)

13:00
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13:45 (GMT+01)


:00
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:45 ()

Data-Centric Dependability and Security (DCDS 2021)

● Keynote 1：Process-aware Attack Detection in Cyber-Physical Systems - The good, the    bad,and the ugly

  Chair : Ibéria Medeiros (University of Lisboa)

  Presenter : Nils Ole Tippenhauer (Saarland University)

● Keynote 2：Secure and Trustworthy Federated Learning

  Chair : Ibéria Medeiros (University of Lisboa)

  Presenter : Michael Kanmp (Monash University)

13:00
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14:00 (GMT+01)


:00
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:00 ()

14:10
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15:10 (GMT+01)


:10
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:10 ()

Application of Intelligent Technology in Security(AITS 2021)

● Session 1：Vulnerability detection and Attack detection

  Each paper has 10 minutes Presenteration and 2 minutes of Q&A.

  Chair : Juhua Pu

  Paper 1 : BBregLocator: A vulnerability detection system based on bounding box regression

  Paper 2 : Automatically Constructing Peer Slices via Semantic- and Context-Aware Security                 Checks in the ;Linux Kernel

  Paper 3 : Detection Algorithm of the Mimicry Attack based on Variational Auto-Encoder

  Paper 4 : Network Intrusion Detection Based on Active Semi-supervised Learning

  Paper 5 : A Statistical Learning Model with Deep Learning Characteristics

—10 minutes break—

14:00
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14:50 (GMT+01)


:00
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:50 ()

Safer Autonomous Systems (SAS 2021)

● Keynote 1：SafeOps: Why we need more Monitoring and Automation in Safety Management                       and Engineering

  Chair : Hélène Waeselynck (LAAS-CNRS)

  Presenter : Peter Munk (Bosch)

  Abstract :

  As of today, the automotive industry's development processes follow the V model described in its prevalent functional safety standard, the ISO 26262:2018. Most effort is spent to achieve an acceptable residual risk at start of production (SoP) and to address safety issues  occurring ;during operating, but only little effort is put in continuously improving a product's ;safety concept after SoP. With upcoming autonomous systems functioning without a driver responsible for safe operation and operating in an open context that changes continuously, his strategy needs to be adapted. In this keynote, I will outline why we should switch to DevOps development processes that established in the IT industry and extend these to support the requirements of safety-critical autonomous systems. The first key concept to achieve this change is to identify and remove gaps in automation of mandatory safety management and engineering tasks during development. The second key concept is to leverage the available connectivity features and monitor product internal and external safety properties during operation in a live manner. Only this way we quickly identify and react to safety issues as well as thus continuously adapt and improve the safety concept of safety-critical autonomous systems to increase societies trust in them.

  Safer Autonomous Systems require safe perception. Safe perception requires a sufficiently low probability of critical malfunctions and sufficiently high detection capabilities. This talk presents methods for ensuring both aspects and gives examples of the application of these methods in an industrial setting.

● Session 1: Runtime Monitoring

  Chair : Jeroen Boydens (KU Leuven)

  Paper 1 : Safety monitoring of AI-based perception functions, Raul Sena Ferreira (LAAS-CNRS,                  France)

  Paper 2 : Runtime adaptation of autonomous systems, Yuan Liao (Fraunhofer, Germany)

  Paper 3 : Runtime safety contracts for interacting autonomous systems, João Vitor Zacchi                 (Fraunhofer, Germany)

  Autonomy is in the air: on one hand, automation is clearly a lever to improve safety margins; on another hand technologies are maturing, pulled by the automotive market. In this context, Airbus is building a concept airplane from a blank sheet with the objective to improve human-machine teaming for better overall performance. Foundation of this new concept is that when they are made aware of the “big picture” with enough time to analyze it, humans are still the best to make strategic decisions. Autonomy technologies are the main enabler of this concept. Benefit are expected both in a two-crew cockpit and eventually in Single Pilot Operations.

14:00
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14:35 (GMT+01)


:00
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:35 ()

14:40
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15:25 (GMT+01)


:40
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:25 ()

15:30
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16:15 (GMT+01)


:30
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:15 ()

16:20
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17:00 (GMT+01)


:20
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:00 ()

7th International Workshop on Safety and Security of Intelligent Vehicles – SSIV 2021 Program

● Session 1 : Security Attacks to Road Vehicles

   Chair: Michaël Lauer (LAAS-CNRS, France)

   Welcome address

   Paper 1: Vehicular Platoon Communication: Cybersecurity Threats and Open Challenges, Sean                 Taylor, Farhan Ahmad, Hoang Nga Nguyen, Siraj A. Shaikh, David Evans† and David Price

   Paper 2: SaSeVAL: A Safety/Security-Aware Approach for Validation of Safety-Critical                 Systems, Christian ;Wolschke, Behrooz Sangchoolie, Jacob Simon, Stefan Marksteiner, Tobias                 Braun and Hayk Hamazaryan

—5 minutes break—

—5 minutes break—

—5 minutes break—