Secure Message Delivery Games for Device-to-Device Communications. - Emmanouil A. Panaousis; Tansu Alpcan; Hossein Fereidooni; Mauro Conti (GameSec, 2014)

ANASTASIA: ANdroid mAlware detection using STatic analySIs of Applications. - Hossein Fereidooni; Mauro Conti; Danfeng Yao; Alessandro Sperduti (NTMS, 2016)

Android Code Protection via Obfuscation Techniques: Past, Present and Future Directions. - Parvez Faruki; Hossein Fereidooni; Vijay Laxmi; Mauro Conti; Manoj Singh Gaur (CoRR, 2016)

Fitness Trackers: Fit for Health but Unfit for Security and Privacy. - Hossein Fereidooni; Tommaso Frassetto; Markus Miettinen; Ahmad-Reza Sadeghi; Mauro Conti (CHASE, 2017)

Breaking Fitness Records Without Moving: Reverse Engineering and Spoofing Fitbit. - Hossein Fereidooni; Jiska Classen; Tom Spink; Paul Patras; Markus Miettinen; Ahmad-Reza Sadeghi; Matthias Hollick; Mauro Conti (RAID, 2017)

DÏoT: A Federated Self-learning Anomaly Detection System for IoT. - Thien Duc Nguyen; Samuel Marchal; Markus Miettinen; Hossein Fereidooni; N. Asokan; Ahmad-Reza Sadeghi (ICDCS, 2019)

On the Security of Strong Memristor-based Physically Unclonable Functions. - Shaza Zeitouni; Emmanuel Stapf; Hossein Fereidooni; Ahmad-Reza Sadeghi (DAC, 2020)

Peek-a-boo: i see your smart home activities, even encrypted! - Abbas Acar; Hossein Fereidooni; Tigist Abera; Amit Kumar Sikder; Markus Miettinen; Hidayet Aksu; Mauro Conti; Ahmad-Reza Sadeghi; A. Selcuk Uluagac (WISEC, 2020)

ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning. - Oliver Lutz; Huili Chen; Hossein Fereidooni; Christoph Sendner; Alexandra Dmitrienko; Ahmad-Reza Sadeghi; Farinaz Koushanfar (CoRR, 2021)

SAFELearn: Secure Aggregation for private FEderated Learning. - Hossein Fereidooni; Samuel Marchal; Markus Miettinen; Azalia Mirhoseini; Helen Möllering; Thien Duc Nguyen; Phillip Rieger; Ahmad-Reza Sadeghi; Thomas Schneider 003; Hossein Yalame; Shaza Zeitouni (IACR Cryptol. ePrint Arch., 2021)

FLGUARD: Secure and Private Federated Learning. - Thien Duc Nguyen; Phillip Rieger; Hossein Yalame; Helen Möllering; Hossein Fereidooni; Samuel Marchal; Markus Miettinen; Azalia Mirhoseini; Ahmad-Reza Sadeghi; Thomas Schneider 003; Shaza Zeitouni (IACR Cryptol. ePrint Arch., 2021)

FedCRI: Federated Mobile Cyber-Risk Intelligence. - Hossein Fereidooni; Alexandra Dmitrienko; Phillip Rieger; Markus Miettinen; Ahmad-Reza Sadeghi; Felix Madlener (NDSS, 2022)

FLAME: Taming Backdoors in Federated Learning. - Thien Duc Nguyen; Phillip Rieger; Huili Chen; Hossein Yalame; Helen Möllering; Hossein Fereidooni; Samuel Marchal; Markus Miettinen; Azalia Mirhoseini; Shaza Zeitouni; Farinaz Koushanfar; Ahmad-Reza Sadeghi; et al. (USENIX Security Symposium, 2022)

FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks. - Jorge Castillo; Phillip Rieger; Hossein Fereidooni; Qian Chen 019; Ahmad-Reza Sadeghi (ACSAC, 2023)

AuthentiSense: A Scalable Behavioral Biometrics Authentication Scheme using Few-Shot Learning for Mobile Platforms. - Hossein Fereidooni; Jan König; Phillip Rieger; Marco Chilese; Bora Gökbakan; Moritz Finke; Alexandra Dmitrienko; Ahmad-Reza Sadeghi (NDSS, 2023)

Smarter Contracts: Detecting Vulnerabilities in Smart Contracts with Deep Transfer Learning. - Christoph Sendner; Huili Chen; Hossein Fereidooni; Lukas Petzi; Jan König; Jasper Stang; Alexandra Dmitrienko; Ahmad-Reza Sadeghi; Farinaz Koushanfar (NDSS, 2023)

BayBFed: Bayesian Backdoor Defense for Federated Learning. - Kavita Kumari; Phillip Rieger; Hossein Fereidooni; Murtuza Jadliwala; Ahmad-Reza Sadeghi (SP, 2023)

ARGUS: Context-Based Detection of Stealthy IoT Infiltration Attacks. - Phillip Rieger; Marco Chilese; Reham Mohamed 002; Markus Miettinen; Hossein Fereidooni; Ahmad-Reza Sadeghi (USENIX Security Symposium, 2023)

To ChatGPT, or not to ChatGPT: That is the question! - Alessandro Pegoraro; Kavita Kumari; Hossein Fereidooni; Ahmad-Reza Sadeghi (CoRR, 2023)

Phantom: Untargeted Poisoning Attacks on Semi-Supervised Learning. - Jonathan Knauer; Phillip Rieger; Hossein Fereidooni; Ahmad-Reza Sadeghi (CCS, 2024)

FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning. - Hossein Fereidooni; Alessandro Pegoraro; Phillip Rieger; Alexandra Dmitrienko; Ahmad-Reza Sadeghi (NDSS, 2024)

DEMASQ: Unmasking the ChatGPT Wordsmith. - Kavita Kumari; Alessandro Pegoraro; Hossein Fereidooni; Ahmad-Reza Sadeghi (NDSS, 2024)

Xplain: Analyzing Invisible Correlations in Model Explanation. - Kavita Kumari; Alessandro Pegoraro; Hossein Fereidooni; Ahmad-Reza Sadeghi (USENIX Security Symposium, 2024)

Phantom: Untargeted Poisoning Attacks on Semi-Supervised Learning (Full Version). - Jonathan Knauer; Phillip Rieger; Hossein Fereidooni; Ahmad-Reza Sadeghi (CoRR, 2024)