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Fabio Pierazzi

Lecturer (Assistant Professor) in Computer Science

King's College London

Biography

I am a Lecturer (Assistant Professor) in Cybersecurity at the Department of Informatics of King’s College London (KCL), where I am also part of Cybersecurity Group (CYS), and Programme Leader of the MSc in Cyber Security. I also closely collaborate with UCL’s Systems Security Research Lab (S2Lab).

My research interests lie at the intersection of AI and cybersecurity, with particular focus on systems security, adversarial ML, malware analysis, and network security.

I completed my Ph.D. in Computer Science as a member of WEBLab at University of Modena (Italy) in March 2017, and I spent most of 2016 as a visiting research scholar at University of Maryland, College Park (US). I have then held a two-year PostDoctoral position in the S2Lab in the UK (first at Royal Holloway, University of London, then at King’s College London).

Workshop I am Program Co-Chair of the 1st ACM Workshop on Robust Malware Analysis (WoRMA), co-located with ACM AsiaCCS.

I’m Hiring! I am recruiting Ph.D. students to join my research team at King’s College London. If you are interested, read this page.

Interests

  • AI for Security
  • Systems Security
  • Adversarial Machine Learning
  • Malware Analysis
  • Network Security

Education

  • PhD in Computer Science, 2017

    University of Modena, Italy

  • MSc in Computer Engineering, 2013

    University of Modena, Italy

  • BSc in Computer Engineering, 2010

    University of Modena, Italy

Latest News

Recent Publications

Quickly discover relevant content by filtering publications.
. Dos and Don'ts of Machine Learning in Computer Security. USENIX Security Symposium, 2022.

Preprint (Accepted version)

. Transcending Transcend: Revisiting Malware Classification with Conformal Evaluation. IEEE Symp. Security & Privacy (Oakland), 2022.

Preprint

. INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection. AISec Workshop (co-located with ACM CCS), 2021.

PDF

. Investigating Labelless Drift Adaptation for Malware Detection. AISec Workshop (co-located with ACM CCS), 2021.

PDF

. Universal Adversarial Perturbations for Malware. arXiv ( arXiv:2102.06747v1), 2021.

Preprint

. GLYPH: Efficient ML-based Detection of Heap Spraying Attacks. IEEE Transactions on Information Forensics and Security (TIFS), 2021.

PDF CyberSec&AI Talk Graffiti (USENIX Sec 2016)

Selected Talks

Service

Reviewing Awards

  • Top 10 Reviewers — DIMVA 2021
  • Outstanding Reviewer Award — DIMVA 2020
  • Distinguished PC Member — IJCAI 2018

Program Chair

Technical Program Committee

  • IEEE S&P (Oakland) — 2022
  • USENIX Security — 2022
  • NeurIPS — 2021
  • ICML — 2020, 2021
  • ICLR — 2021, 2022
  • AAAI — 2019, 2020, 2021
  • IJCAI — 2018, 2019, 2020
  • DIMVA — 2020, 2021
  • ARES — 2020, 2021
  • DLS (Workshop of IEEE Symp. S&P) — 2020, 2021
  • MLHat (KDD Workshop) — 2021
  • AISec (CCS workshop) — 2019, 2020, 2021
  • DSML (DSN Workshop) — 2020, 2021
  • EuroSec Workshop — 2020, 2021
  • SafeML (ECAI workshop)— 2020
  • IEEE TrustCom — 2020
  • MLCS (Workshop of ECML PKDD) — 2020
  • Poster Track of IEEE Symp. S&P (Oakland) — 2019
  • Poster/Demo Track of ACM CCS — 2020
  • IEEE Network Computing and Applications (NCA) — 2017, 2019, 2020
  • IEEE Smart Industries Workshop — 2018
  • IEEE BDAA Workshop — 2018

Shadow Technical Program Committee

  • IEEE Symposium on Security & Privacy (Oakland) — 2018, 2019

External Reviewer

  • USENIX Security Symposium — 2021

Artifact Evaluation PC

  • USENIX Security Symposium — 2020
  • ACSAC — 2018, 2019
  • SOSP — 2019
  • USENIX WOOT — 2019

Publicity Chair

  • EuroSec Workshop — 2021

Editorial Boards of Journals

Review Service

  • ACM Trans. Privacy and Security (TOPS) — 2019, 2020, 2021
  • IEEE Trans. Information Forensics and Security (TIFS) — 2017, 2018, 2019, 2020, 2021
  • IEEE Trans. Neural Networks and Learning Systems (TNNLS) — 2018, 2019
  • IEEE S&P Magazine — 2019
  • Elsevier Computer Networks Journal — 2018
  • IEEE Trans. Big Data — 2019
  • IEEE Trans. Engineering Management — 2019
  • Elsevier FGCS — 2019
  • Springer UK Books — 2019
  • Applied Sciences Journal — 2019
  • International Journal of Machine Learning and Cybernetics (JMLC) — 2018
  • Elsevier Journal of Information Security and Applications (JISA) — 2017, 2018
  • Elsevier Expert Systems With Applications — 2017, 2018
  • IEEE Trans. Computational Social Systems (TCSS) — 2016

Sub-review service

  • USENIX Security Symposium — 2019, 2020
  • ACM The Web Conference (WWW) — 2019
  • IEEE Euro S&P — 2019
  • DIMVA — 2019
  • RAID — 2019
  • ACM CCS — 2018
  • ACSAC — 2018
  • ARES Conference — 2018
  • Deep Learning for Security (IEEE S&P workshop) — 2018
  • ACM CODASPY — 2018
  • IEEE Trans. on Cloud Computing — 2017
  • IEEE International Conference on Communications (ICC) — 2016
  • IEEE NetSciCom — 2016
  • IEEE Network Computing and Applications (NCA) — 2015
  • Elsevier Expert Systems with Applications — 2015

Teaching (Selected)

Module Leader

  • 2022
    • “Security Testing”, MSc Cyber Security, King’s College London, UK
  • 2021
    • “Security Testing”, MSc Cyber Security, King’s College London, UK
  • 2020
    • “Security Testing”, MSc Cyber Security, King’s College London, UK

Experience

 
 
 
 
 

Lecturer (Assistant Professor) in Computer Science

King’s College London

Sep 2019 – Present United Kingdom
KCL
 
 
 
 
 

Research Associate

King’s College London

Jul 2019 – Sep 2019 United Kingdom
KCL
 
 
 
 
 

Visiting Research Associate

King’s College London

Sep 2018 – Jun 2019 United Kingdom
KCL
 
 
 
 
 

PostDoctoral Researcher

Royal Holloway, University of London

Oct 2017 – Jun 2019 United Kingdom
RHUL
 
 
 
 
 

PostDoctoral Researcher

University of Modena

Mar 2017 – Sep 2017 Italy
KCL
 
 
 
 
 

Visiting Research Scholar

University of Maryland, College Park

Jan 2016 – Nov 2016 USA
UMD
 
 
 
 
 

Ph.D. in Computer Science

University of Modena

Jan 2014 – Mar 2017 Italy
KCL

Skills

Python

Machine Learning

Systems Security

Malware Detection

NIDS

Web Development

Contact

  • fabio.pierazzi@kcl.ac.uk
  • King's College London, Department of Informatics, Bush House Building, Strand, London, WC2B 4BG
  • My office is (N)7.16, situated at the 7th floor of Bush House Central Block.
  • Email for appointment.