Artificial intelligence is progressing ever faster with new applications and results that would not be possible only a few years ago. At the same time, hardware security is becoming increasingly important for embedded systems applications where the number of such applications keeps on growing. The connection between AI and hardware security is becoming more prominent. Today, there are numerous applications where AI has either an offensive or defensive role for HW security. AIHWS aims to position itself in the intersection of these topics and provide a space where ideas converge into exciting new approaches for HW security. This workshop will provide an environment for researchers from academic and industrial domains to discuss findings and on-going work on all aspects of hardware security and artificial intelligence including design, attacks, manufacturing, testing, validation, utilization.
We encourage researchers working on all aspects of AI and HW security to take the opportunity and use AIHWS to share their work and participate in discussions.
The authors are invited to submit the papers using
EasyChair submission system through submission link
https://easychair.org/my/conference?conf=aihws2024.
Submitted papers must be written in English and be anonymous, as we follow the double-anonymized review process, with no author names, affiliations, acknowledgments, or any identifying citations. All submissions must follow the original
LNCS format with a page limit of 18 pages, including references and possible appendices. Papers should be submitted electronically in PDF format. The post-proceedings will be published in Springer’s LNCS series.
Every accepted paper must have at least one author registered for the workshop.
There will be an ACNS best workshop paper award (with 500 EUR prize sponsored by Springer), to be selected from the accepted papers of all workshops.
Students also have the opportunity to receive the student travel grant, for details, see this website.
EXTENDED submission deadline!
Workshop paper submission deadline: Dec 5, 2023
previously Nov 15, 2023
Workshop paper notification: Jan 10, 2024
previously Dec 22, 2023 Jan 5, 2024
Camera-ready papers for pre-proceedings: Jan 20, 2024
previously Jan 9, 2024
Workshop date: Mar 5, 2024
The program starts at 09:00 am, GST (Gulf Standard Time: UTC + 4h).
TIME GST (UTC+4h) |
SESSION/TITLE |
---|---|
09:00 - 09:10 | Opening remarks |
09:10 - 09:30 | Session 1 |
Diversity Algorithms for Laser Fault Injection Marina Krček and Thomas Ordas |
|
09:30 - 10:30 | ACNS Keynote Gene Tsudik |
10:30 - 11:00 | Coffee break |
11:00 - 11:40 | Session 1 |
FPGA Implementation of Physically Unclonable Functions based on Multi-threshold Delay Time Measurement Method to Mitigate Modeling Attacks Tatsuya Oyama, Mika Sakai, Yohei Hori, Toshihiro Katashita and Takeshi Fujino |
|
Harnessing the Power of LLMs in Hardware Trojan Design Georgios Kokolakis, Athanasios Moschos and Angelos Keromytis |
|
11:40 - 12:40 | Keynote talk 1: Touching Points of AI and Cryptography Moti Yung |
12:40 - 14:00 | Lunch break |
14:00 - 15:00 | Keynote talk 2: Hardware Security through the Lens of Dr AI Debdeep Mukhopadhyay |
15:00 - 15:20 | Session 1 |
Everything All At Once: Deep Learning Side-Channel Analysis Optimization Framework Gabriele Serafini, Léo Weissbart and Lejla Batina |
|
15:20 - 15:40 | Coffee break |
15:40 - 17:00 | Session 2 |
Incorporating Cluster Analysis of Feature Vectors for Non-profiled Deep-learning-based Side-channel Attacks Yuta Fukuda, Kota Yoshida, and Takeshi Fujino |
|
One for All, All for Ascon: Ensemble-based Deep Learning Side-channel Analysis Azade Rezaeezade, Abraham Basurto-Becerra, Léo Weissbart, and Guilherme Perin |
|
Creating from Noise: Trace Generations Using Diffusion Model for Side-Channel Attacks Trevor Yap and Dirmanto Jap |
|
CNN architecture extraction on edge GPU Peter Horvath, Lukasz Chmielewski, Lejla Batina, Leo Weissbart, and Yuval Yarom |
|
17:00 - 17:05 | Closing remarks |
Kashif Nawaz, Cryptography Research Centre, Technology Innovation Institute, UAE
Liran Lerman
Vincent Verneuil, NXP Semiconductors, Germany
Lukasz Chmielewski, Masaryk University, Czech Republic
Luca Mariot, University of Twente, The Netherlands
Zhuoran Liu, Radboud University, The Netherlands
Lejla Batina, Radboud University, The Netherlands
Guilherme Perin, Leiden University, The Netherlands
Kostas Papagiannopoulos, University of Amsterdam, The Netherlands
Ileana Buhan, Radboud University, The Netherlands
Lichao Wu, Radboud University, The Netherlands
David Gerault, Technology Innovation Institute, UAE
Naofumi Homma, Tohoku University, Japan
Dirmanto Jap, Nanyang Technological University, Singapore
Alan Jović, University of Zagreb, Croatia
Fatemeh Ganji, Worcester Polytechnic Institute, USA
Marina Krček, TU Delft, The Netherlands