Dear All,
The paper we announced back in Jan is now accepted for IJCNN conference
(ranked core A).
We will share the final version (improved to implement comments by
reviewers in due time).
Regards,
prof. Michal Choras
-------------------------- Wiadomość oryginalna --------------------------
Temat: Request for SPARTA acknowledgment in paper
Od: mchoras(a)itti.com.pl
Data: 29 Stycznia 2020, 11:54 pm, Śr
Do: bodies.dissemination-committee(a)internal.sparta.eu
--------------------------------------------------------------------------
Dear All,
We submitted Sparta/Safair relevant paper (attached) to IJCNN conference.
Title: Achieving Explainability of Intrusion Detection System by Hybrid
Oracle-Explainer Approach
By: Szczepanski, Choras, Pawlicki, Kozik.
If accepted we plan to acknowledge SPARTA.
Kind Regards,
Prof. Michal Choras
Dear All,
The paper we announced back in Dec is now accepted for ICCS 2020 (very
good Core A conference).
We will share final version in due time.
Regards,
prof. Michal Choras
-------------------------- Wiadomość oryginalna --------------------------
Temat: Request for SPARTA acknowledgment in paper
Od: mchoras(a)itti.com.pl
Data: 27 Grudnia 2019, 11:27 pm, Pt
Do: Bodies.dissemination-committee(a)internal.sparta.eu
--------------------------------------------------------------------------
Dear All,
We plan to submit Sparta relevant paper (attached) for the CLD2 workshop
at ICCS 2020 in Amsterdam.
Title: On the impact of network data balancing in cybersecurity applications
By: Pawlicki, Choras, Kozik and Holubowicz.
If accepted we plan to acknowledge SPARTA.
Kind Regards,
Prof. Michal Choras
Dear All,
The paper we announced back in Nov is now accepted for ICCS 2020 (very
good core A conference).
We will implement comments by reviewers and share the final version in due
time.
Regards,
prof. Michal Choras
-------------------------- Wiadomość oryginalna --------------------------
Temat: Request for SPARTA acknowledgment in paper
Od: mchoras(a)itti.com.pl
Data: 28 Listopada 2019, 11:42 am, Cz
Do: bodies.dissemination-committee(a)internal.sparta.eu
--------------------------------------------------------------------------
Dear All,
We plan to submit Sparta and Safair relevant SOTA type of paper (draft
attached) for the DisA workshop (I co-organize) at ICCS 2020 in Amsterdam.
http://disa.kssk.pwr.edu.pl/https://www.iccs-meeting.org/iccs2020/
Title: Machine Learning - the results are not the only thing that matters!
What about security, explainability and fairness?
By: Choras, Pawlicki, Puchalski and Kozik.
The paper uses ITTI text relevant for D7.2.
If accepted we plan to acknowledge SPARTA.
Kind Regards,
Prof. Michal Choras
Dear All,
We plan to submit Sparta and Safair relevant SOTA type of paper (draft
attached) for the DisA workshop (I co-organize) at ICCS 2020 in Amsterdam:
http://disa.kssk.pwr.edu.pl/https://www.iccs-meeting.org/iccs2020/
Title: Machine Learning - the results are not the only thing that matters!
What about security, explainability and fairness?
By: Choras, Pawlicki, Puchalski and Kozik.
The paper uses ITTI text relevant for D7.2.
If accepted we plan to acknowledge SPARTA.
Kind Regards,
Prof. Michal Choras
-------------------------- Wiadomość oryginalna --------------------------
Temat: [SPARTA - bodies.dissemination-committee] Request for SPARTA
acknowledgment in accepted paper
Od: "Gabriele Costa" <gabriele.costa(a)imtlucca.it>
Data: 27 Listopada 2019, 3:48 pm, Śr
Do: bodies.dissemination-committee(a)internal.sparta.eu
--------------------------------------------------------------------------
Dear Dissemination Committee,
we have about to publish a paper for which we would like to acknowledge
the SPARTA project.
Please, find the version that we plan to submit in attachment and a
brief description of the content, the venue and the relation with the
activities of WP6 below.
Please let us know if you have any objections or comments.
Best regards
Gabriele Costa
===
Title: WAF-A-MoLE: Evading Web Application Firewalls through Adversarial
Machine Learning
Venue: ACM Symposium on Applied Computing
Relationship with SPARTA: The paper presents a a technique to evade
machine learning-based web application firewalls (WAFs). This work shows
that ML WAFs are not reliable in discriminating between attack payloads
and harmless traffic. The activity is related to the identification and
evaluation of the state-of-the-art technologies adopted in the IIs.
--
bodies.dissemination-committee mailing list
bodies.dissemination-committee(a)server.sparta.eu
http://server.sparta.eu/cgi-bin/mailman/listinfo/bodies.dissemination-commi…
Dear all,
My colleague Prof. Dominique Unruh has submitted the paper. Please see the information on it below.
Best greetings,
Raimundas
Begin forwarded message:
From: Dominique Unruh <unruh(a)ut.ee<mailto:unruh@ut.ee>>
Subject: Abstract of submission
Date: 28. February 2020 at 15:59:23 EET
To: Raimundas Matulevičius <raimundas.matulevicius(a)ut.ee<mailto:raimundas.matulevicius@ut.ee>>
Submitted to Crypto 2020.
Authors: Dominique Unruh
Title: Post-Quantum Verification of Fujisaki-Okamoto
Abstract: We present a computer-verified formalization of the post-quantum security proof of the Fujisaki-Okamoto transform (as analyzed by Hövelmanns, Kiltz, Schäge, and Unruh, PKC 2020). The formalization is done in quantum relational Hoare logic and checked in the qrhl-tool (Unruh, POPL 2019).
Content: Nothing that is based on IP from other SPARTA members.
Best wishes,
Dominique
Dear all,
I have submitted a research paper entitled "Enhancing Security in 6G
Visible Light Communications" that has been accepted in the 6G Wireless
Summit (https://www.6gsummit.com/).
This paper, considers improving the confidentiality of the next
generation of wireless communications in Internet of Things (IoT)
devices by using the watermark-based blind physical layer security
(WBPLSec) in Visible Light Communications (VLCs)
Therefore, this paper is in line with WP6.
Please find the prefinal version of our paper attached to this email.
If the dissemination committee raises no objections, we would like to
acknowledge the SPARTA project.
Best regards,
*Simone Soderi, Dr.Sc. (Tech)
*Post-Doctoral Research Fellow
*IMT - School for Advanced Studies Lucca*
Piazza S. Francesco, 19 I-55100 Lucca - Italy
email: simone.soderi(a)imtlucca.it
<mailto:simone.soderi@imtlucca.it>
web: http://www.imtlucca.it <https://www.imtlucca.it>
Dear all,
We have a paper draft (without a definite subject yet) that we would
like to submit to USENIX Security, on the 15th of February. The paper
focuses on container security that can be increased even on legacy systems.
We do not expect to have any sensitive information in the final version
that we will submit to the conference. We will provide the final
version, once we have submitted the paper. Please let me know if you
should have further questions.
Thank you very much in advance!
Best,
~Sergej
--
Sergej Proskurin, M.Sc.
Wissenschaftlicher Mitarbeiter
Technische Universität München
Fakultät für Informatik
Lehrstuhl für Sicherheit in der Informatik
Boltzmannstraße 3
85748 Garching (bei München)
Tel. +49 (0)89 289-18592
Fax +49 (0)89 289-18579
Dear All,
we submitted the paper "Towards Visual Debugging for Multi-Target Time
Series Classification" to the**ACM IUI 2020. We request to acknowledge
SPARTA if the paper is accepted.
Abstract:
* Multi-target classification of multivariate time series data poses a
challenge in many real-world applications (e.g., predictive
maintenance). Machine learning methods, such as random forests and
neural networks, support training these classifiers.
However, the debugging and analysis of possible misclassifications
remain challenging due to the often complex relations between
targets, classes, and the multivariate time series data. We propose
a model-agnostic visual debugging workflow
for multi-target time series classification that enables the
examination of relations between targets, partially correct
predictions, potential confusions, and the classified time series
data. The workflow, as well as the prototype, aims to foster an
in-depth analysis of multi-target classification results to identify
potential causes of mispredictions visually. We demonstrate the
usefulness of the workflow in the field of predictive maintenance in
a usage scenario to show how users can
iteratively explore and identify critical classes, as well as,
relationships between targets.
Best Regards,
Eren Cakmak
--
Research Associate
Department of Computer and Information Science
Data Analysis and Visualization Group
78457 Konstanz, Germany
Website: http://infovis.uni.kn/~cakmak
Phone: +49 (0)7531 88 2507
Room: D334
Dear All,
We submitted Sparta/Safair relevant paper (attached) to IJCNN conference.
Title: Achieving Explainability of Intrusion Detection System by Hybrid
Oracle-Explainer Approach
By: Szczepanski, Choras, Pawlicki, Kozik.
If accepted we plan to acknowledge SPARTA.
Kind Regards,
Prof. Michal Choras