Tutorial and State of the Art course in topical areas related to TECoSA

Below are descriptions of the modules to be offered in the first round of the course. Attendance is free to all TECoSA members. To register, please email tecosa-admin@kth.se stating which module(s) you wish to take.


5G Security Standardization and Cloud Security Challenges, insights from Ericsson (key areas: Security)
Format: 3-hour workshop
Location: on-line (via Teams)
Timing: Friday 29 October 2022, kl.13-16
Module led by: Ericsson: Prajwol Kumar Nakarmi (prajwol.kumar.nakarmi@ericsson.com) and János Kövér (janos.kover@ericsson.com)
Content: Part 1: A sneak peek into how 3GPP – the defacto standardization organization for all Gs – works in general. Then, we will describe the most important security and privacy features that were introduced in 5G, making 5G the most trustworthy mobile network generation ever. Part 2: To highlight problems and identify research opportunities: *Introduction (Threat model in cloud, ideal wanted position); *Solution with TEEs (Trusted Execution Environment) and short-term challenges; *Potential residual threats (e.g. side channel attacks, trust in HW vendors).


Trustworthiness and Dependability in Edge-based CPS (key areas: Safety, Security, Predictability)
Format: Two half-day workshops, plus preparation and homework
Location: KTH Campus, with “join on-line” option
Timing: Thurs 24 Feb kl.9-12 CET and Thurs 3 Mar kl.9-12 CET
Module led by: KTH: Martin Törngren (martint@kth.se)
Content: An overview of established views and definitions; relationships between concepts; trends; “schools”. Flipped class-room sessions (with preparation + assignment); discussion; collaborative effort to create a web/wiki page with “TECoSA” key concepts


Fundamentals of Bayesian Inference using Probabilistic Programming (key areas: Safety)
Format: Two 3-hour seminars plus preparation and homework
Location: Kista Campus
Timing: Thur
s 10 Feb kl.9-12 CET and Thurs 17 Feb kl.9-12 CET
Module led by: KTH: David Broman (dbro@kth.se)
Content: *Basics of Bayesian inference (SMC, MCMC); *Bayes rule, probabilistic modeling; *Using probabilistic programming to solve Bayesian probabilistic problems. Given through interactive lectures, hands-on exercises and take home exercises.


Multi-agent Decision Making (key areas: Predictability)
Format: ?? number of sessions, length of sessions, preparation, homework etc
Location: Online (via X), or KTH Campus? Kista Campus, with “join on-line” option?
Timing: (sometime Jan-March) Add exact date and time: 2022.?.?, kl.x-y
Module led by: KTH: György Dán (gyuri@kth.se)
Content: *Game theory fundamentals; *Models of learning; *Emergence of equilibria.


Machine Reasoning Explainability (an AAMAS tutorial) (key areas: Predictability)
Format: One 3.5-hour tutorial
Location: Online (via Teams)
Timing: Weds 9 Mar kl.9-12.30 CET

Module lead by: Ericsson: Kristijonas Cyras, Swarup Kumar Mohalik, Alexandros Nikou, Alessandro Previti (with support from Anusha Pradeep Mujumdar and Aneta Vulgarakis Feljan  (aneta.vulgarakis@ericsson.com)
Content: *Concept; *Technical Part 1(Inference-Based Explanations; SAT/SMT Analysis of Inconsistencies; Argumentation-Based Explanations); *Technical Part 2 (Explainable Planning; Symbolic RL, Explainability; Causal Approaches to Explainability); *Conclusions


Industrial, Reliable Wireless Networking – Fundamentals and Systems (key areas: Predictability)
Format: 3-hour workshop
Location: Online (via X), or KTH Campus? Kista Campus, with “join on-line” option?
Timing: (sometime March/April) Add exact date and time: 2022.?.?, kl.x-y
Module led by: KTH: James Gross (jamesgr@kth.se)
Content: *Underlying principles; *Communication theory background; *Implementation principles; *Examples (iWLAN, IO-Link, 5G, 802.11be)


ML Security and Privacy (key areas: Security)
Format: ?? number of sessions, length of sessions, preparation, homework etc
Location: Online (via X), or KTH Campus? Kista Campus, with “join on-line” option?
Timing: (sometime Apr-June) Add exact date and time: 2022.?.?, kl.x-y
Module led by: KTH: György Dán (gyuri@kth.se) and Raksha Ramakrishna (rakshar@kth.se)
Content: *Taxonomy of attacks on ML; *Adversarial attacks on classification; *ML fingerprinting and watermarking; *Definitions of privacy; *Approaches to privacy preserving learning.


Programming Python AI study circle (key areas: Predictability)
Format: Five 1-hour workshops plus self-study
Location: Online (via X), or KTH Campus? Kista Campus, with “join on-line” option?
Timing: (sometime Jan-June) Add exact date and time: 2022.?.?, kl.x-y
Module led by: AFRY: Tor Ericson (Tor.Ericson@afry.com)
Content: Learn Python programming skills


Autumn 2022: Fundamentals of Security for Edge Computing (key areas: Security)
Format: Three 2-hour workshops
Location: Kista Campus, with “join on-line” option
Timing: Weds 5 Oct kl.13-15, Weds 12 Oct kl.13-15 and Weds 19 Oct kl.13-15 (all CET)
Module led by: KTH: Elena Dubrova (dubrova@kth.se)
Content: *Introduction to cryptography (secret and public cryptosystems, encryption and authentication basics); *Attack vectors; *Anti-tamper techniques.