Professional Activities

Presentations, Talks and Seminars

MaleficNet: Hiding Malware into Deep Neural Networks Using Spread-Spectrum Channel Coding - Invited Talk (Virtual): University of Reading, UK, Hosted by Dr. Zahra Pooranian.

Can We Stop the AI Cyber Threat? - Malicious Life Podcast
Is Generative AI Dangerous? - Malicious Life Podcast - Discussed MaleficNet paper and specifically new threat vectors originating from usage of unvetted third-party AI models.

An Introduction to Generative Adversarial Networks, a.k.a. GANs - Invited Talk: Code for Albania

GANs in Security and Privacy - Invited Talk: The Nomura - SRI Innovation Center (NSIC).

GAN based Privacy Attacks on Decentralized Deep Learning - Seminar: George Mason University - Center for Secure Information Systems, Hosted by Prof. Sushil Jajodia
GAN based Privacy Attacks on Decentralized Deep Learning - Seminar: University of Padua - SPRITZ Security & Privacy Research Group, Hosted by Prof. Mauro Conti
GANs n' Privacy: Novel Attacks on Privacy Via Generative Adversarial Networks - Ph.D. Thesis Presentation: Sapienza University of Rome

Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning - Paper Presentation: ACM CCS 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning - Seminar: Stevens Institute of Technology
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning - Invited Talk - Brown Bag Seminars: Sapienza University of Rome

No Place to Hide that Bytes won't Reveal: Sniffing Location-Based Encrypted Traffic to Track a User's Position - Invited Talk: Colorado State University, Hosted by Prof. Indrakshi Ray & Prof. Indrajit Ray
No Place to Hide that Bytes won't Reveal: Sniffing Location-Based Encrypted Traffic to Track a User's Position - Paper Presentation: NSS 2015
No Place to Hide that Bytes won't Reveal: Sniffing Location-Based Encrypted Traffic to Track a User's Position - Seminar: Sapienza University of Rome

IEEE S&P 2022 - Donations Chair
The Web Conference 2022 (WWW'22) - Sub-Reviewer
PrivateNLP@NAACL 2022, Fourth Workshop on Privacy in Natural Language Processing - Program Committee
ACSAC 2022 - Program Committee

IEEE S&P 2021 - Donations Chair
ICML 2021 - Reviewer
PrivateNLP@NAACL 2021, Third Workshop on Privacy in Natural Language Processing - Program Committee

IEEE S&P 2020 - Donations Chair
ICML 2020 - Reviewer
PrivateNLP@EMNLP 2020 Workshop on Privacy in Natural Language Processing - Program Committee

IEEE Access - Reviewer
IEEE Transactions on Computers - Reviewer
2018 ACM SIGSAC Conference on Computer and Communications Security (ACM CCS'18) - Sub-Reviewer
Workshop on Container-based systems for Big data, Distributed and Parallel Computing (CBDB'2018) - TPC Member

IEEE Transactions on Information Forensics & Security - Reviewer
ST-152 Workshop on Intelligent Autonomous Agents for Cyber Defence and Resilience - Reviewer
10th ACM Conference on Security and Privacy in Wireless and Mobile Networks (ACM WiSec 2017) - Reviewer

21st European Symposium on Research in Computer Security (ESORICS 2016) - Reviewer

IEEE Conference on Communications and Network Security (IEEE CNS 2015) - Reviewer

Maena Quemener, Ecole Polytechnique de Paris - International Fellow at SRI International, co-advised with Eric Yeh and Natarajan Shankar (June 2022 - August 2022)
Akshith Gunasekaran, Oregon State University - Summer Intern at SRI International, co-advised with Huascar Sanchez (June 2022 - September 2022)
Alexander Roebben, ETH Zürich - Master Student, co-advised with Fernando Perez-Cruz (March 2021 - September 2021)
Skylar Gordon, MIT - Summer Intern at SRI International (May 2020 - August 2020)
Aidan Abdulali, UC Berkeley - Summer Intern at SRI International, co-advised with Eric Yeh (May 2019 - August 2019)