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Praveen Manoharan
Praveen Manoharan
Verified email at uni-tuebingen.de
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Cited by
Cited by
Year
On the (statistical) detection of adversarial examples
K Grosse, P Manoharan, N Papernot, M Backes, P McDaniel
arXiv preprint arXiv:1702.06280, 2017
8912017
Adversarial examples for malware detection
K Grosse, N Papernot, P Manoharan, M Backes, P McDaniel
Computer Security–ESORICS 2017: 22nd European Symposium on Research in …, 2017
6942017
Adversarial perturbations against deep neural networks for malware classification
K Grosse, N Papernot, P Manoharan, M Backes, P McDaniel
arXiv preprint arXiv:1606.04435, 2016
5232016
Membership privacy in MicroRNA-based studies
M Backes, P Berrang, M Humbert, P Manoharan
Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications …, 2016
1682016
AnoA: A framework for analyzing anonymous communication protocols
M Backes, A Kate, P Manoharan, S Meiser, E Mohammadi
2013 IEEE 26th Computer Security Foundations Symposium, 163-178, 2013
1402013
TUC: time-sensitive and modular analysis of anonymous communication
M Backes, P Manoharan, E Mohammadi
2014 IEEE 27th Computer Security Foundations Symposium, 383-397, 2014
322014
On profile linkability despite anonymity in social media systems
M Backes, P Berrang, O Goga, KP Gummadi, P Manoharan
Proceedings of the 2016 ACM on Workshop on Privacy in the Electronic Society …, 2016
302016
On the (statistical) detection of adversarial examples. arXiv 2017
K Grosse, P Manoharan, N Papernot, M Backes, P McDaniel
arXiv preprint arXiv:1702.06280, 0
26
Towards plausible graph anonymization
Y Zhang, M Humbert, B Surma, P Manoharan, J Vreeken, M Backes
arXiv preprint arXiv:1711.05441, 2017
222017
Fast rotating neutron stars: Oscillations and instabilities
CJ Krüger, KD Kokkotas, P Manoharan, SH Völkel
Frontiers in Astronomy and Space Sciences 8, 736918, 2021
122021
Reconciling privacy and utility in continuous-time diffusion networks
M Backes, M Gomez-Rodriguez, P Manoharan, B Surma
2017 IEEE 30th Computer Security Foundations Symposium (CSF), 292-304, 2017
72017
Ctrl+ z: recovering anonymized social graphs
Y Zhang, M Humbert, B Surma, P Manoharan, J Vreeken, M Backes
arXiv preprint arXiv:1711.05441, 2017
72017
Adversarial perturbations against deep neural networks for malware classification
M Backes, P Manoharan, K Grosse, N Papernot
The Computing Research Repository (CoRR), 2016
72016
How well do you blend into the crowd?-d-convergence: A novel paradigm for quantifying privacy in the age of Big-Data
M Backes, P Berrang, P Manoharan
CoRR, 2015
52015
AnoA: A Framework For Analyzing Anonymous Communication Protocols—Unified Definitions and Analyses of Anonymity Properties
M Backes, A Kate, P Manoharan, S Meiser, E Mohammadi
IACR Cryptology ePrint Archive, Report 2014/087, 2014. available at http …, 0
5
Universal relations for binary neutron star mergers with long-lived remnants
P Manoharan, CJ Krüger, KD Kokkotas
Physical Review D 104 (2), 023005, 2021
42021
On the (Statistical) Detection of Adversarial Examples. CoRR, Vol. abs/1702.06280 (2017)
K Grosse, P Manoharan, N Papernot, M Backes, PD McDaniel
arXiv preprint arxiv:1702.06280, 2017
32017
From Zoos to Safaris—From Closed-World Enforcement to Open-World Assessment of Privacy
M Backes, P Berrang, P Manoharan
Foundations of Security Analysis and Design VIII: FOSAD 2014/2015/2016 …, 2016
32016
Finding universal relations using statistical data analysis
P Manoharan, KD Kokkotas
Physical Review D 109 (10), 103033, 2024
22024
From Closed-world Enforcement to Open-world Assessment of Privacy
M Backes, P Berrang, P Manoharan
arXiv preprint arXiv:1502.03346, 2015
22015
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