On the (statistical) detection of adversarial examples K Grosse, P Manoharan, N Papernot, M Backes, P McDaniel arXiv preprint arXiv:1702.06280, 2017 | 891 | 2017 |

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 | 695 | 2017 |

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 | 523 | 2016 |

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 | 169 | 2016 |

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 | 140 | 2013 |

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 | 32 | 2014 |

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 | 30 | 2016 |

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 | 22 | 2017 |

Fast rotating neutron stars: Oscillations and instabilities CJ Krüger, KD Kokkotas, P Manoharan, SH Völkel Frontiers in Astronomy and Space Sciences 8, 736918, 2021 | 12 | 2021 |

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 | 7 | 2017 |

Ctrl+ z: recovering anonymized social graphs Y Zhang, M Humbert, B Surma, P Manoharan, J Vreeken, M Backes arXiv preprint arXiv:1711.05441, 2017 | 7 | 2017 |

Adversarial perturbations against deep neural networks for malware classification M Backes, P Manoharan, K Grosse, N Papernot The Computing Research Repository (CoRR), 2016 | 7 | 2016 |

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 | 5 | 2015 |

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 | 4 | 2021 |

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 | 3 | 2017 |

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 | 3 | 2016 |

Finding universal relations using statistical data analysis P Manoharan, KD Kokkotas Physical Review D 109 (10), 103033, 2024 | 2 | 2024 |

From Closed-world Enforcement to Open-world Assessment of Privacy M Backes, P Berrang, P Manoharan arXiv preprint arXiv:1502.03346, 2015 | 2 | 2015 |