Benjamin C. M. Fung

Benjamin Fung est titulaire de la Chaire de recherche du Canada en exploration de données pour la cybersécurité, professeur titulaire à l’École des sciences de l’information (SIS) et membre associé à l’École d’informatique (SOCS) de l'Université McGill. Il a obtenu un doctorat en informatique à l'Université Simon Fraser en 2007.

Ses travaux d’exploration de données dans les enquêtes criminelles et l’analyse des auteurs ont été rapportés par les médias du monde entier. Ses recherches ont été soutenues en partie par le CRSNG, le CRSH, RDDC, le CCN et le FRQNT. Il est membre du conseil des chercheurs de l'Alliance de recherche numérique du Canada, chercheur principal du Data Mining and Security Lab (DMaS), membre affilié du McGill Digital Humanities Initiatives et membre académique associé du MILA. Il est ingénieur professionnel agréé en génie logiciel en Ontario.

Articles de revues avec comité de lecture

• A. Bodaghi, K. A. Schmitt, P. Watine, and B. C. M. Fung. A literature review on detecting, verifying, and mitigating online misinformation. IEEE Transactions on Computational Social Systems (TCSS), 29 pages, in press, IEEE.
  [ full paper | JCR impact factor: 5.0, 5-year: 5.2 ]
• A. Bodaghi, B. C. M. Fung, and K. Schmitt. Technological solutions to online toxicity: potential and pitfalls. IEEE Technology and Society Magazine (TSM), 42(4):57-65, December 2023. IEEE Society on Social Implications of Technology.
  [ full paper | JCR impact factor: 2.2, 5-year: 2.4 ]
• L. Li, S. H. H. Ding, Y. Tian, B. C. M. Fung, P. Charland, W. Ou, L. Song, and C. Chen. VulANalyzeR: explainable binary vulnerability detection with multi-task learning and attentional graph convolution. ACM Transactions on Privacy and Security (TOPS), 26(3):28.1-28.25, August 2023. ACM.
  [ full paper | JCR impact factor: 2.3, 5-year: 3.2 ]
• S. Razaulla, C. Fachkha, C. Markarian, A. Gawanmeh, W. Mansoor, B. C. M. Fung, and C. Assi. The age of ransomware: a survey on the evolution, taxonomy, and research directions. IEEE Access, 11:40698-40723, April 2023. IEEE.
  [ full paper | JCR impact factor: 3.9, 5-year: 4.1 ]
• R. H. Khokhar, B. C. M. Fung, F. Iqbal, K. Al-Hussaeni, and M. Hussain. Differentially private release of heterogeneous network for managing healthcare data. ACM Transactions on Knowledge Discovery from Data (TKDD), 17(6):90.1-90.30. February 2023, ACM.
  [ full paper | JCR impact factor: 4.3, 5-year: 4.4 ]
• A. Abusitta, G. H. S. de Carvalho, O. Adel Wahab, T. Halabi, B. C. M. Fung, and S. Al Mamoori. Deep learning-enabled anomaly detection for IoT systems. Internet of Things (IoT), 21(100656):1-13, April 2023. Elsevier.
  [ full paper | JCR impact factor: 5.9, 5-year: 6.4 ]
• M. Q. Li, B. C. M. Fung, and P. Charland. DyAdvDefender: an instance-based online machine learning model for perturbation-trial-based black-box adversarial defense. Information Sciences (INS), 601:357-373, July 2022. Elsevier.
  [ full paper | JCR impact factor: 8.1, 5-year: 7.5 ]
• J. F. Low, B. C. M. Fung, F. Iqbal, and S.-C. Huang. Distinguishing between fake news and satire with transformers. Expert Systems With Applications (ESWA), 187(115824):1-13, January 2022. Elsevier.
  [ full paper | software | JCR impact factor: 8.5, 5-year: 8.3 ]

Livres

• F. Iqbal, M. Debbabi, and B. C. M. Fung. Machine Learning for Authorship Attribution and Cyber Forensics, ser. Computer Entertainment and Media Technology. 194 pages, Springer Nature, December 2020.
  [ book | ISBN: 978-3-030-61674-8 ]

Articles de revues

• N. Pellicer-Garcia, S. Hogue, and B. C. M. Fung. Canada should "de-risk" from China by updating its foreign-investment screening. Policy Options, December 18, 2023.
  [ op-ed ]
• E. Taylor and B. C. M. Fung. The impact of China targeting its diaspora. Policy Options, May 8, 2022.
  [ op-ed ]
• S.-F. Lee and B. C. M. Fung. Why a foreign influence registry act is necessary for Canada’s national security. The Hill Times, June 16, 2022.
  [ op-ed | Canada-China committee in the Parliament of Canada ]
• S.-F. Lee and B. C. M. Fung. The use of deepfakes can sow doubt, creating confusion and distrust in viewers. The Conversation, May 8, 2022.
  [ op-ed ]
• S.-F. Lee and B. C. M. Fung. Vaccine passports can be used for surveillance under the guise of public health measures. The Conversation, February 22, 2022.
  [ op-ed ]
• S.-F. Lee and B. C. M. Fung. Misinformation and Chinese interference in Canada’s affairs. Policy Options, January 4, 2022.
  [ op-ed | Follow-ups: Globe and Mail (1), Globe and Mail (2), and Fairchild TV | Canada-China committee in the Parliament of Canada ]
• S.-F. Lee and B. C. M. Fung. Artificial intelligence may not actually be the solution for stopping the spread of fake news. The Conversation, November 28, 2021.
  [ op-ed ]
• S.-F. Lee and B. C. M. Fung. Governments should inoculate citizens to prevent the spread of fake news. The Conversation, November 1, 2021.
  [ op-ed ]
• S.-F. Lee and B. C. M. Fung. Deep fakes and big data: the next level of cyber warfare. The Hill Times Policy Briefing: Cybersecurity, 18, October 27, 2021.
  [ op-ed ]
• B. C. M. Fung. Are Canadians prepared for cyberattacks in the second Cold War? The Hill Times Policy Briefing: Privacy & Security, 17, May 5, 2021.
  [ op-ed ]

Communications dans des colloques scientifiques

• M. Beninger, P. Charland, S. H. H. Ding, and B. C. M. Fung. ERS0: enhancing military cybersecurity with AI-driven SBOM for firmware vulnerability detection and asset management. In Proceedings of the 16th NATO International Conference on Cyber Conflict (CyCon), 19 pages, Tallinn, Estonia, April 2024.
  [ full paper ]
• M. Altakrori, T. Scialom, B. C. M. Fung, and J. C. K. Cheung. A multifaceted framework to evaluate evasion, content preservation, and misattribution in authorship obfuscation techniques. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 2391-2403, Abu Dhabi, UAE: ACL, December 2022.
  [ long paper with oral presentation |  slides | video ]
• A. Diwan, M. Q. Li and B. C. M. Fung. VDGraph2Vec: Vulnerability detection in assembly code using message passing neural networks. In Proceedings of the 21st IEEE International Conference on Machine Learning and Applications (ICMLA), pages 1039-1046, Nassau, The Bahamas: IEEE, December 2022.
  [ full paper | slides ]
• M. Q. Li, B. C. M. Fung, and A. Abusitta. On the effectiveness of interpretable feedforward neural network. In Proceedings of the International Joint Conference on Neural Networks (IJCNN), pages 1-8, Padova, Italy: IEEE, July 2022.
  [ full paper | software ]
• C. Molloy, S. H. H. Ding, B. C. M. Fung, and P. Charland. H4rm0ny: a competitive zero-sum two-player markov game for multi-agent learning on evasive malware generation and detection. In Proceedings of the IEEE International Conference on Cyber Security and Resilience (CSR), pages 22-29, Virtual Conference: IEEE Press, July 2022.
  [ full paper | best research paper award - This award is established to recognize and promote high-quality regular research contributions to theoretical and practical aspects of security, privacy, trust, and resilience of networks, systems (including complex cyber-physical systems), applications, and services. ]
• M. Q. Li and B. C. M. Fung. Interpretable malware classification based on functional analysis. In Proceedings of the 17th International Conference on Software Technologies (ICSOFT), pages 500-507, Lisbon, Portugal: ScitePress, July 2022.
  [ short paper ]
• C. Molloy, P. Charland, S. H. H. Ding, and B. C. M. Fung. JARV1S: phenotype clone search for rapid zero-Day malware triage and functional decomposition for cyber threat intelligence. In Proceedings of the 14th NATO International Conference on Cyber Conflict (CyCon), pages 385-403, Tallinn, Estonia, June 2022.
  [ full paper ]
• M. Altakrori, J. C. K. Cheung, and B. C. M. Fung. The topic confusion task: a novel evaluation scenario for authorship attribution. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 4242-4256, Punta Cana, Dominican Republic: ACL, November 2021.
  [ full paper | presentation ]
• M. Q. Li, B. C. M. Fung, P. Charland, and S. H. H. Ding. A novel and dedicated machine learning model for malware classification. In Proceedings of the 16th International Conference on Software Technologies (ICSOFT), pages 617-628, Virtual Conference: ScitePress, July 2021.
  [ full paper | full paper acceptance ratio: 15% ]
• A. Abusitta, A. W. Omar, and B. C. M. Fung. VirtualGAN: reducing mode collapse in generative adversarial networks using virtual mapping. In Proceedings of the International Joint Conference on Neural Networks (IJCNN), pages 1-6, Virtual Conference: IEEE, July 2021.
  [ full paper ]
• H. Bo, S. H. H. Ding, B. C. M. Fung, and F. Iqbal. ER-AE: Differentially private text generation for authorship anonymization. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), pages 3997-4007, Virtual Conference, June 2021. Association for Computational Linguistics.
  [ full paper | poster | slides ]

• [2015-present] Canada Research Chair in Data Mining for Cybersecurity
• [2022] Best research paper award, IEEE International Conference on Cyber Security and Resilience (CSR)

• INFS 630: Data mining (Université McGill)

Sélection d'interviews réalisées dans les médias

• 2023/12] The Hill Times (podcast): Foreign interference at Canadian universities
• [2023/11/5] news (podcast): WeChat ban
• [2023/11] OMNI TV National News (Cantonese): WeChat ban
• [2023/10/18] CBC News radio: TikTok ban
• [2023/7/25] Le Journal de Montreal - Un géant chinois soupçonné d’espionnage a tenté de recruter un prof de McGill pendant des années
• [2023/7/25] CJAD 800 radio interview (The Elias Makos Show): Research Security
• [2023/6/5] AM1430 Toronto: Risks of AI
• [2023/6] CBC Chinese Section: June 4 Commemoration
• [2023/6/1] Le Journal de Montreal: Manifestation devant le consulat chinois de Montréal samedi pour dénoncer l’ingérence étrangère
• [2023/5/18] National Post: Comment on the Chinese ‘police station’ in Montreal
• [2023/4/13] Montreal Gazette: Pro-Russian group’s cyberattack on Hydro-Québec
• [2023/3 to 2023/5] CBC TV (twice): Comment on the Chinese ‘police station’ in Montreal
• [2023/3 to 2023/5] CBC Radio: Comment on the Chinese ‘police station’ in Montreal
• [2023/3/11] Toronto Star: Comment on the Chinese ‘police station’ in Montreal
• [2023/3/9] Le Journal de Montreal: Comment on the Chinese ‘police station’ in Montreal
• [2023/3/9] Montreal Gazette: Comment on the Chinese ‘police station’ in Montreal
• [2023/3/27] National Post: Comment on disinformation from China
• [2023/3/8] Le Journal de Montreal: Comment on research security
• [2023/2 to 2023/3] CBC Radio The Current: Comment on TikTok ban
• [2023/2 to 2023/3] theBreaker.new: Comment on TikTok ban
• [2023/2 to 2023/3] CBC Radio Ontario Today: Comment on TikTok ban
• [2023/2 to 2023/3] CBC Radio New Brunswick Acadie Nouvelle: Comment on TikTok ban
• [2023/2 to 2023/3] CBC Radio Montreal: Comment on TikTok ban
• [2023/2 to 2023/3] CBC TV PEI Newscast: Comment on TikTok ban
• [2023/2 to 2023/3] CBC National News: Comment on TikTok ban
• [2023/2 to 2023/3] McGill Tribune: Comment on TikTok ban
• [2023/2 to 2023/3] AM1430 Fairchild Radio: Comment on TikTok ban
• [2023/2 to 2023/3] OMNI TV (Cantonese): Comment on TikTok ban
• [2023/3/9] OMNI TV: Comment on ChatGPT
• [2023/2] Capital Current Ottawa: Comment on foreign interference in federal elections
• [2023/1/4] Digital Research Alliance of Canada (DRAC): Featuring my research in cybersecurity

Op-eds

• [2023/12/18] Policy Options: Canada should "de-risk" from China by updating its foreign-investment screening.*
• [2023/5/8] Policy Options: The impact of China targeting its diaspora.*

*co-écrits avec ses étudiants de maîtrise