diff --git a/PhD/research_proposal/bibliography.bib b/PhD/research_proposal/bibliography.bib
index 3f43594..318c5f8 100644
--- a/PhD/research_proposal/bibliography.bib
+++ b/PhD/research_proposal/bibliography.bib
@@ -1772,6 +1772,26 @@ series = {CCS '02}
   publisher={Elsevier}
 }
 
+@inproceedings{eet1_mlcs,
+  title={Side-channel Based Runtime Intrusion Detection for Network Equipment},
+  author={Arthur Grisel-Davy and Goksen U. Guler and Julian Dickert and Philippe Vibien and Waleed Khan and Jack Morgan and Carlos Moreno and Sebastian Fischmeister.},
+  booktitle={ECML-PKDD, Workshop on Machine Learning for Cyber Security},
+  year={2023},
+}
+@inproceedings{bpv_qrs,
+  title={Independent Boot Process Verification using Side-Channel Power Analysis},
+  author={Grisel-Davy, Arthur and Fischmeister, Sebastian},
+  booktitle={IEEE Intrenational Conference on Software Quality, Reliability, and Security (QRS)},
+  year={2023},
+  organization={IEEE}
+}
+@inproceedings{dsd_qrs,
+  title={MAD: One-Shot Machine Activity Detector for Physics-Based Cyber Security},
+  author={Grisel-Davy, Arthur and Fischmeister, Sebastian},
+  booktitle={IEEE Intrenational Conference on Software Quality, Reliability, and Security (QRS)},
+  year={2023},
+  organization={IEEE}
+}
 @inproceedings{grisel2022work,
   title={Work-in-Progress: Boot Sequence Integrity Verification with Power Analysis},
   author={Grisel-Davy, Arthur and Bhogayata, Amrita Milan and Pabbi, Srijan and Narayan, Apurva and Fischmeister, Sebastian},
diff --git a/PhD/research_proposal/pastwork.tex b/PhD/research_proposal/pastwork.tex
index f2c2802..417fb9b 100644
--- a/PhD/research_proposal/pastwork.tex
+++ b/PhD/research_proposal/pastwork.tex
@@ -22,7 +22,6 @@ For these reasons, network switches are prime candidates for side-channel securi
 The installation of a side-channel monitoring system is often minimally invasive and can even be performed without downtime if the machine supports redundant power supplies.
 The aim of the project was to leverage side-channel analysis to detect anomalous activities that can be related to attacks on a network switch.
 The goal is not to create a complete \gls{ids} suite from physics-based security but to offer a complementary detection mechanism for the cases where traditional \gls{ids} are failing.
-\agd{ask sebastian about examples of traditional H|N-IDS}
 
 
 \subsection{Attack Scenario}
@@ -106,6 +105,8 @@ All these methods yield good results for the detection of abnormal firmware.
     \label{fig:eet1_firmware}
 \end{figure}
 
+This first exploration of the capabilities of physics-based \gls{ids} lead to the publication of an article \cite{eet1_mlcs} at the workshop on Machine Learning for Cyber Security at the ECML-PKDD conference.
+
 \newpage
 \section{xPSU}\label{sec:xpsu}
 The xPSU project continued the exploratory work started with the \gls{eet} project.
@@ -192,6 +193,7 @@ We performed the second evaluation on a drone.
 A drone is a prime machine for the \gls{bpv} as its low complexity allows for consistent boot traces.
 We successfully detected different firmware versions by leveraging the information from the two previous experiments.
 Along the evaluations, the \gls{bpv} capabilities have been modified to adapt to specific cases and enable anomalous training samples, multi-model evaluations, and autonomous learning.
+This expansion of the work on \gls{bpv} lead to the plublication of a paper \cite{bpv_qrs} at the QRS Conference.
 
 \begin{table}[ht]
     \centering
@@ -375,6 +377,7 @@ The normalized state edit distance is defined as
 with $Lev$ the Levenshtein distance.
 This metric is complementary to the accuracy and will be computed for every evaluation of the the state detection algorithms.
 
+This work on the detection of machine activity from power consumption information lead to the publication of an article \cite{dsd_qrs} at the QRS conference.
 \newpage
 \section{Conclusion on Past Work}
 The project of physics-based security at a global level with complete independence from the protected machine is not trivial.