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Fabio Pierazzi

Lecturer (Assistant Professor) in Computer Science

King's College London

Biography

I am a Lecturer (Assistant Professor) in Computer Science at the Department of Informatics of King’s College London, and part of the Cybersecurity Group (CYS).

My research interests lie at the intersection of AI and cybersecurity, with particular focus on intrusion detection, adversarial ML, and systems 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 Systems Security Research Lab (S2Lab) in the UK.

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

Interests

  • AI Security
  • Intrusion Detection
  • Systems Security
  • Adversarial ML

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

  • Dec 2019: Invited in TPC of IJCAI 2020
  • Nov 2019: Invited in TPC of ICML 2020
  • Nov 2019: Invited in Artifact Evaluation Committee of USENIX Security 2020
  • Oct 2019: Invited for a presentation at SoSySec seminar at IRISA (Rennes, France) in Apr 2020
  • Oct 2019: Invited in TPC of DIMVA 2020
  • Oct 2019: We are presenting 3 research posters at Avast’s CyberSecAI Prague
  • Sep 2019: Started as Lecturer (Assistant Professor) in Computer Science at King’s College London
  • Aug 2019: Invited in TPC of AAAI 2020
  • Aug 2019: Presented TESSERACT at the USENIX Security Symposium 2019
  • Jul 2019: Our POSTER: Realistic Adversarial ML Attacks in the Problem-Space has been accepted for presentation at USENIX Security Symposium!
  • Apr 2019: Invited in the TPC of AISec (CCS workshop).
  • Mar 2019: Camera ready of TESSERACT now available.
  • Mar 2019: Our paper “DBank: Predictive Behavioral Analysis of Recent Android Banking Trojans” has been accepted at IEEE TDSC! More details soon.
  • Feb 2019: Our paper “TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time” has been accepted at USENIX Security Symposium 2019!
  • Feb 2019: Member of TPC for Poster Track of IEEE S&P (Oakland).
  • Feb 2019: Invited in the TPC of IEEE NCA 2019.
  • Jan 2019: Attending USENIX ENIGMA 2019, where Prof. Cavallaro will present some of our findings on experimental bias in ML for security. See you in San Francisco! ✈

Recent Publications

Quickly discover relevant content by filtering publications.
. Intriguing Properties of Adversarial ML Attacks in the Problem Space. arXiv preprint, 2019.

PDF

. POSTER: Realistic Adversarial ML Attacks in the Problem-Space. USENIX Security Symposium, 2019.

. TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time. USENIX Security Symposium (16% Acceptance Rate), 2019.

PDF Code Dataset Project Slides Video

. DBank: Predictive Behavioral Analysis of Recent Android Banking Trojans. IEEE Transactions on Dependable and Secure Computing (TDSC), 2019.

Preprint Project

. POSTER: Enabling Fair ML Evaluations for Security. ACM CCS, 2018.

PDF Code Project

. Detection and Threat Prioritization of Pivoting Attacks in Large Networks. IEEE Transactions on Emerging Topics in Computing (TETC), 2017.

PDF Project

Selected Talks

Service

Technical Program Committee

  • ICML — 2020
  • DIMVA — 2020
  • AAAI — 2019, 2020
  • IJCAI — 2018, 2019, 2020
  • AISec (CCS workshop) — 2019
  • Poster Track of IEEE Symp. S&P (Oakland) — 2019
  • IEEE Network Computing and Applications (NCA) — 2017, 2019
  • CARDS — 2019
  • IEEE Smart Industries Workshop — 2018
  • IEEE BDAA Workshop — 2018

Shadow Technical Program Committee

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

Artifact Evaluation PC

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

Workshop Chair

Review Service

  • ACM Trans. Privacy and Security (TOPS) — 2019
  • IEEE Trans. Information Forensics and Security (TIFS) — 2017, 2018, 2019
  • 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 & Seminars

2020

  • Lecturer (Module Leader) for “Security Testing”, MSc Cybersecurity, King’s College London, UK

  • Teaching part of “Security monitoring I - Malware analysis and detection” within the Master (~Specialization Course) in Cybersecurity at University of Bologna, Italy

2019

  • Two-day module on “Machine Learning for Security” at Cyber Academy, a specialization course on cybersecurity at the University of Modena and Reggio Emilia, Italy

  • Seminars on “Machine Learning for Security”, as part of Malicious Software course, BSc in Information Security, Royal Holloway, University of London, UK

2018

  • Seminar on “Authentication and Access Control”, as part of Security Engineering course, MSc Computer Science, King’s College London, UK
  • T.A. and Seminars on “Machine Learning for Security”, as part of Malicious Software course, BSc in Information Security, Royal Holloway, University of London, UK

2017

  • Several lectures and lab tutor for part of the “Network Systems and Applications” course, MSc in Computer Engineering, University of Modena and Reggio Emilia, Italy

2016

  • Seminars and T.A. for the “Computer Security” course, MSc in Computer Engineering, University of Modena and Reggio Emilia, Italy

2015

  • Several lectures and lab tutor for part of the “Network Systems and Applications” course, MSc in Computer Engineering, University of Modena and Reggio Emilia, Italy
  • Seminars and T.A. for the “Computer Security” course, MSc in Computer Engineering, University of Modena and Reggio Emilia, Italy

2014

  • Seminars and T.A. for “Network Systems and Applications” course, MSc in Computer Engineering, University of Modena and Reggio Emilia, Italy

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.