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Hossein Fereidooni
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2020 – today
- 2024
- [c19]Jonathan Knauer, Phillip Rieger, Hossein Fereidooni, Ahmad-Reza Sadeghi:
Phantom: Untargeted Poisoning Attacks on Semi-Supervised Learning. CCS 2024: 615-629 - [c18]Hossein Fereidooni, Alessandro Pegoraro, Phillip Rieger, Alexandra Dmitrienko, Ahmad-Reza Sadeghi:
FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning. NDSS 2024 - [c17]Kavita Kumari, Alessandro Pegoraro, Hossein Fereidooni, Ahmad-Reza Sadeghi:
DEMASQ: Unmasking the ChatGPT Wordsmith. NDSS 2024 - [c16]Kavita Kumari, Alessandro Pegoraro, Hossein Fereidooni, Ahmad-Reza Sadeghi:
Xplain: Analyzing Invisible Correlations in Model Explanation. USENIX Security Symposium 2024 - [i15]Jonathan Knauer, Phillip Rieger, Hossein Fereidooni, Ahmad-Reza Sadeghi:
Phantom: Untargeted Poisoning Attacks on Semi-Supervised Learning (Full Version). CoRR abs/2409.01470 (2024) - 2023
- [c15]Jorge Castillo
, Phillip Rieger
FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks. ACSAC 2023: 647-661 - [c14]Hossein Fereidooni, Jan König, Phillip Rieger, Marco Chilese, Bora Gökbakan, Moritz Finke, Alexandra Dmitrienko, Ahmad-Reza Sadeghi:
AuthentiSense: A Scalable Behavioral Biometrics Authentication Scheme using Few-Shot Learning for Mobile Platforms. NDSS 2023 - [c13]Christoph Sendner, Huili Chen, Hossein Fereidooni, Lukas Petzi, Jan König, Jasper Stang, Alexandra Dmitrienko, Ahmad-Reza Sadeghi, Farinaz Koushanfar:
Smarter Contracts: Detecting Vulnerabilities in Smart Contracts with Deep Transfer Learning. NDSS 2023 - [c12]Kavita Kumari, Phillip Rieger, Hossein Fereidooni, Murtuza Jadliwala, Ahmad-Reza Sadeghi:
BayBFed: Bayesian Backdoor Defense for Federated Learning. SP 2023: 737-754 - [c11]Phillip Rieger, Marco Chilese, Reham Mohamed, Markus Miettinen, Hossein Fereidooni, Ahmad-Reza Sadeghi:
ARGUS: Context-Based Detection of Stealthy IoT Infiltration Attacks. USENIX Security Symposium 2023: 4301-4318 - [i14]Kavita Kumari, Phillip Rieger
BayBFed: Bayesian Backdoor Defense for Federated Learning. CoRR abs/2301.09508 (2023) - [i13]Hossein Fereidooni, Jan König, Phillip Rieger, Marco Chilese, Bora Gökbakan, Moritz Finke, Alexandra Dmitrienko, Ahmad-Reza Sadeghi:
AuthentiSense: A Scalable Behavioral Biometrics Authentication Scheme using Few-Shot Learning for Mobile Platforms. CoRR abs/2302.02740 (2023) - [i12]Phillip Rieger, Marco Chilese, Reham Mohamed, Markus Miettinen, Hossein Fereidooni, Ahmad-Reza Sadeghi:
ARGUS: Context-Based Detection of Stealthy IoT Infiltration Attacks. CoRR abs/2302.07589 (2023) - [i11]Alessandro Pegoraro, Kavita Kumari, Hossein Fereidooni, Ahmad-Reza Sadeghi:
To ChatGPT, or not to ChatGPT: That is the question! CoRR abs/2304.01487 (2023) - [i10]Jorge Castillo, Phillip Rieger, Hossein Fereidooni, Qian Chen, Ahmad-Reza Sadeghi:
FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks. CoRR abs/2310.02113 (2023) - [i9]Kavita Kumari, Alessandro Pegoraro, Hossein Fereidooni, Ahmad-Reza Sadeghi:
DEMASQ: Unmasking the ChatGPT Wordsmith. CoRR abs/2311.05019 (2023) - [i8]Hossein Fereidooni, Alessandro Pegoraro, Phillip Rieger, Alexandra Dmitrienko, Ahmad-Reza Sadeghi:
FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning. CoRR abs/2312.04432 (2023) - 2022
- [c10]Hossein Fereidooni, Alexandra Dmitrienko, Phillip Rieger, Markus Miettinen, Ahmad-Reza Sadeghi, Felix Madlener:
FedCRI: Federated Mobile Cyber-Risk Intelligence. NDSS 2022 - [c9]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, Thomas Schneider:
FLAME: Taming Backdoors in Federated Learning. USENIX Security Symposium 2022: 1415-1432 - 2021
- [c8]Hossein Fereidooni, Samuel Marchal
SAFELearn: Secure Aggregation for private FEderated Learning. SP (Workshops) 2021: 56-62 - [i7]Thien Duc Nguyen, Phillip Rieger, Hossein Yalame, Helen Möllering, Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Ahmad-Reza Sadeghi, Thomas Schneider, Shaza Zeitouni:
FLGUARD: Secure and Private Federated Learning. CoRR abs/2101.02281 (2021) - [i6]Oliver Lutz, Huili Chen, Hossein Fereidooni, Christoph Sendner, Alexandra Dmitrienko, Ahmad-Reza Sadeghi, Farinaz Koushanfar:
ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning. CoRR abs/2103.12607 (2021) - [i5]Thien Duc Nguyen, Phillip Rieger, Hossein Yalame, Helen Möllering, Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Ahmad-Reza Sadeghi, Thomas Schneider, Shaza Zeitouni:
FLGUARD: Secure and Private Federated Learning. IACR Cryptol. ePrint Arch. 2021: 25 (2021) - [i4]Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Helen Möllering, Thien Duc Nguyen, Phillip Rieger, Ahmad-Reza Sadeghi, Thomas Schneider, Hossein Yalame, Shaza Zeitouni:
SAFELearn: Secure Aggregation for private FEderated Learning. IACR Cryptol. ePrint Arch. 2021: 386 (2021) - 2020
- [c7]Shaza Zeitouni, Emmanuel Stapf, Hossein Fereidooni, Ahmad-Reza Sadeghi:
On the Security of Strong Memristor-based Physically Unclonable Functions. DAC 2020: 1-6 - [c6]Abbas Acar, Hossein Fereidooni, Tigist Abera, Amit Kumar Sikder, Markus Miettinen
Peek-a-boo: i see your smart home activities, even encrypted! WISEC 2020: 207-218
2010 – 2019
- 2019
- [c5]Thien Duc Nguyen, Samuel Marchal
DÏoT: A Federated Self-learning Anomaly Detection System for IoT. ICDCS 2019: 756-767 - 2018
- [i3]Abbas Acar, Hossein Fereidooni, Tigist Abera, Amit Kumar Sikder, Markus Miettinen, Hidayet Aksu, Mauro Conti, Ahmad-Reza Sadeghi, A. Selcuk Uluagac:
Peek-a-Boo: I see your smart home activities, even encrypted! CoRR abs/1808.02741 (2018) - 2017
- [c4]Hossein Fereidooni, Tommaso Frassetto, Markus Miettinen, Ahmad-Reza Sadeghi, Mauro Conti
Fitness Trackers: Fit for Health but Unfit for Security and Privacy. CHASE 2017: 19-24 - [c3]Hossein Fereidooni, Jiska Classen, Tom Spink
Breaking Fitness Records Without Moving: Reverse Engineering and Spoofing Fitbit. RAID 2017: 48-69 - [i2]Hossein Fereidooni, Jiska Classen, Tom Spink, Paul Patras, Markus Miettinen, Ahmad-Reza Sadeghi, Matthias Hollick, Mauro Conti:
Breaking Fitness Records without Moving: Reverse Engineering and Spoofing Fitbit. CoRR abs/1706.09165 (2017) - 2016
- [c2]Hossein Fereidooni, Mauro Conti, Danfeng Yao
ANASTASIA: ANdroid mAlware detection using STatic analySIs of Applications. NTMS 2016: 1-5 - [i1]Parvez Faruki, Hossein Fereidooni, Vijay Laxmi, Mauro Conti, Manoj Singh Gaur:
Android Code Protection via Obfuscation Techniques: Past, Present and Future Directions. CoRR abs/1611.10231 (2016) - 2014
- [c1]Emmanouil A. Panaousis
Secure Message Delivery Games for Device-to-Device Communications. GameSec 2014: 195-215
Coauthor Index
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last updated on 2024-12-11 20:38 CET by the dblp team
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