SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection
Conference 8th IEEE European Symposium on Security and Privacy
Oneliner: Revisiting ML in Network Intrusion Detection
Talks and presentations
See a map of all the places where I've given a talk!
Real Attackers Don`t Compute Gradients: Bridging the Gap Between Adversarial ML Research and Practice
Conference First IEEE Conference on Secure and Trustworthy Machine Learning
Oneliner: Besides the content of the paper, the talk has a meta-message.
SpacePhish: The Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning
Conference Annual Computer Security Applications Conference
Oneliner: A joint effort with UniPD, casting light on some overlooked aspects of adversarial ML in the context of phishing website detection.
Cybersecurity in the Smart Grid: Practitioners` Perspective
Workshop Industrial Control Systems Security Workshop (co-located with ACSAC)
Oneliner: These findings are thanks to an excellent BSc. student.
Doing Practical Research on Machine Learning & Cybersecurity
Seminar University of Padua
Oneliner: Revealing some overlooked aspects of ML & Cybersecurity research
Cybersecurity and Machine Learning: Facts and Myths
Seminar University of Bologna
Oneliner: Going back (close) to my origin!
So good that it is bad. On the (re)use of Datasets in Machine Learning Security
Seminar Dagstuhl Seminars: Security of Machine Learning (Negative Results)
Oneliner: A very negative (informal) talk!
SoK: The Impact of Unlabelled Data in Cyberthreat Detection
Conference 7th IEEE European Symposium on Security and Privacy
Oneliner: Once upon a time...
Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike
Workshop 43th IEEE Symposium on Security and Privacy -- 5th Deep Learning Security Workshop
Oneliner: The only presentation done physically at [DLS22]!
Some Pragmatic Relationships between Machine Learning & Cybersecurity
Seminar TU Delft -- Cybersecurity Webinar series
Oneliner: Anticipation of [DLS22] and [EuroSP22] @ TU Delft!
The relationship between Machine Learning & Cybersecurity
Seminar MSc. in Computer Science -- TU Delft
Oneliner: Teaching some MSc. students the link between ML and Cybersecurity
Exposure of 5G Network Infrastructures to Adversarial Examples
Workshop Huawei Innovation Workshop on Artificial Intelligence for Cyber-Security
Oneliner: Anticipation of the [TNSM22b] paper at Huawei!
Adversarial Attacks against ML Agents
Workshop AICA IWG Virtual Technical Workshop
Oneliner: Addressing the resilience of AICA against adversarial ML attacks.
Cybersecurity: Machine Learning and Industry 5.0
Talk Cyber Security Virtual Conference (ICT Security Magazine)
Oneliner: I was the Moderator between Academia and Industry!
Big Data Security Analytics: Opportunities and Issues
Seminar MSc. Course in Computer Security -- UniMoRe
Oneliner: Data Analytics and Cybersecurity for dummies.
ASGARD Hackatons
Talk Analysis System for Gathered Raw Data - Hackatons
Oneliner: An intriguing research project I participated in during my PhD.
Evaluating the Effectiveness of Adversarial Attacks against Botnet Detectors
Conference 18th IEEE International Symposium on Network Computing and Applications
Oneliner: After not even two months, I am back to Boston...
Big Data Security Analytics
Talk International Summer School on Cyber Security: Machine Learning and Security
Oneliner: The beginning of my future...
Cybersecurity & Machine Learning
Talk Dartmouth College - Presentation
Oneliner: I briefly presented my research to the other lab members of DSAIL!
Evading Botnet Detectors based on Flows and Random Forest with Adversarial Samples
Conference 17th IEEE International Symposium on Network Computing and Applications
Oneliner: My first conference presentation!