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Journal Articles
- 2023
[j2]Loris Giulivi
, Malhar Jere, Loris Rossi, Farinaz Koushanfar, Gabriela F. Ciocarlie, Briland Hitaj, Giacomo Boracchi:
Adversarial scratches: Deployable attacks to CNN classifiers. Pattern Recognit. 133: 108985 (2023)- 2021
- [j1]Malhar Jere, Tyler Farnan, Farinaz Koushanfar:
A Taxonomy of Attacks on Federated Learning. IEEE Secur. Priv. 19(2): 20-28 (2021)
Conference and Workshop Papers
- 2021
- [c1]Shehzeen Hussain, Paarth Neekhara, Malhar Jere, Farinaz Koushanfar, Julian J. McAuley:
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples. WACV 2021: 3347-3356
Informal and Other Publications
- 2022
- [i6]Loris Giulivi, Malhar Jere, Loris Rossi, Farinaz Koushanfar, Gabriela F. Ciocarlie, Briland Hitaj, Giacomo Boracchi:
Adversarial Scratches: Deployable Attacks to CNN Classifiers. CoRR abs/2204.09397 (2022) - [i5]Shehzeen Hussain, Todd Huster, Chris Mesterharm, Paarth Neekhara, Kevin An, Malhar Jere, Harshvardhan Sikka, Farinaz Koushanfar:
ReFace: Real-time Adversarial Attacks on Face Recognition Systems. CoRR abs/2206.04783 (2022) - 2020
- [i4]Paarth Neekhara, Shehzeen Hussain, Malhar Jere, Farinaz Koushanfar, Julian J. McAuley:
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples. CoRR abs/2002.12749 (2020) - [i3]Malhar Jere, Maghav Kumar, Farinaz Koushanfar:
A Singular Value Perspective on Model Robustness. CoRR abs/2012.03516 (2020) - 2019
- [i2]Malhar Jere, Briland Hitaj, Gabriela F. Ciocarlie, Farinaz Koushanfar:
Scratch that! An Evolution-based Adversarial Attack against Neural Networks. CoRR abs/1912.02316 (2019) - [i1]Malhar Jere, Sandro Herbig, Christine Lind, Farinaz Koushanfar:
Principal Component Properties of Adversarial Samples. CoRR abs/1912.03406 (2019)
Coauthor Index
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