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Cybersecurity and AI: Publications & Conferences

Publications

  • Amir Alipour, David Hely, Vincent Beroulle, and Giorgio Di Natale; Power of Prediction: Advantages of Deep Learning Modeling as Replacement for Traditional PUF CRP Enrollment
    Trudevice 2020
  • François Cayre, GRAFT: Unsupervised adaptation to resizing for detection of image manipulation
    IEEE Access (submitted, 2020)

Conferences

  • Vincent Werner, Laurent Maingault and Marie-Laure Potet, Fast Calibration of Fault Injection Equipment with Hyperparameter Optimization Techniques
    Cardis 21, 20th Smart Card Research and Advanced Application Conference,  November 11-12, 2021
  • R. Tofighi-Shirazi, I. Asavoae, Ph. Elbaz-Vincent, and T.-ha Le. Defeating opaque Predicates Statically through Machine Learning and Binary Analysis
    Software Protection Workshop (SPRO’19)
  • Arthur Baudet, Oum-El-Kheir Aktouf, Annabelle Mercier, Philippe Elbaz-Vincent.Systematic Mapping Study of Security in Multi-Embedded-Agent Systems ? 
    IEEE Access
  • Arthur Baudet, Oum-El-Kheir Aktouf, Annabelle Mercier, Philippe Elbaz-Vincent.Toward a Security Architecture for Multi-Embedded-Agent Systems.
    Journée thématique du GT SSLR 2021
  • C. Henin and D. Le Métayer. A Generic Framework for Black-box Explanations
    International Workshop on Fair and Interpretable Learning Algorithms Atlanta, United States, December 2020
  • F. Regazzoni et al.Machine Learning and Hardware security: Challenges and Opportunities -Invited Talk-,
    2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), San Diego, CA, USA, pp. 1-6., 2020
  • Ramtine Tofighi-Shirazi, Irina Mariuca Asavoae, Philippe Elbaz-Vincent, Thanh-Ha Le. Defeating Opaque Predicates Statically through Machine Learning and Binary Analysis.
    3rd International Workshop on Software PROtection, Nov 2019, London, United Kingdom.
  • Ludovic Darmet, Kai Wang, François Cayre. Weakly Supervised Adaptation to Re-sizing for Image Manipulation Detection on Small Patches
    18th International Workshop on Digital-forensics and Watermarking, Nov 2019, Chengdu, China.
  • Weize Quan, Kai Wang, Dong-Ming Yan, Denis Pellerin, Xiaopeng Zhang. Impact of Data Preparation and CNN’s First Layer on Performance of Image Forensics: A Case Study of Detecting Colorized Images
    WI '19 Companion IEEE/WIC/ACM International Conference on Web Intelligence, Oct 2019, Thessaloniki, Greece. pp.127-131.
  • Weize Quan, Kai Wang, Dong-Ming Yan, Denis Pellerin, Xiaopeng Zhang. Improving the generalization of colorized image detection with enhanced training of CNN
    11th International Symposium on Image and Signal Processing and Analysis, Sep 2019, Dubrovnik, Croatia. pp.246-252
  • Ivan Castillo Camacho, Kai Wang. A simple and effective initialization of CNN for forensics of image processing operations
    ACM Information Hiding and Multimedia Security Workshop, Jul 2019, Paris, France
  • Ramtine Tofighi-Shirazi, Irina Mariuca Asavoae, Philippe Elbaz-Vincent. Fine-Grained Static Detection of Obfuscation Transforms Using Ensemble-Learning and Semantic Reasoning.
    Software Security, Protection, and Reverse Engineering Workshop (SSPREW9), Dec 2019, San Juan, United States
  • Jean-Marie Flaus, Revue des approches pour la détection d’intrusion à base de machine learning pour les systèmes de commande industriels,
    C&SAR 2018 - Intelligence Artificielle et Cybersécurité, Rennes, France, November 19-21 2018

Submitted on March 26, 2024

Updated on March 26, 2024