Search Results - Quiring, Erwin

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  1. 1
    I still know it's you! On Challenges in Anonymizing Source Code

    I still know it's you! On Challenges in Anonymizing Source Code by Horlboge, Micha, Quiring, Erwin, Meyer, Roland, Rieck, Konrad

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  2. 2
    The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision

    The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision by Muller, Andreas, Quiring, Erwin

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  3. 3
    On the Detection of Image-Scaling Attacks in Machine Learning

    On the Detection of Image-Scaling Attacks in Machine Learning by Quiring, Erwin, Müller, Andreas, Rieck, Konrad

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  4. 4
    The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision

    The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision by Müller, Andreas, Quiring, Erwin

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  5. 5
    AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images

    AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images by Ricker, Jonas, Assenmacher, Dennis, Holz, Thorsten, Fischer, Asja, Quiring, Erwin

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  6. 6
    Misleading Deep-Fake Detection with GAN Fingerprints

    Misleading Deep-Fake Detection with GAN Fingerprints by Wesselkamp, Vera, Rieck, Konrad, Arp, Daniel, Quiring, Erwin

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  7. 7
    Backdooring and Poisoning Neural Networks with Image-Scaling Attacks

    Backdooring and Poisoning Neural Networks with Image-Scaling Attacks by Quiring, Erwin, Rieck, Konrad

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  8. 8
    Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models

    Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models by Müller, Andreas, Lukovnikov, Denis, Thietke, Jonas, Fischer, Asja, Quiring, Erwin

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  9. 9
    I still know it's you! On Challenges in Anonymizing Source Code

    I still know it's you! On Challenges in Anonymizing Source Code by Horlboge, Micha, Quiring, Erwin, Meyer, Roland, Rieck, Konrad

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  10. 10
    Intriguing Properties of Adversarial ML Attacks in the Problem Space [Extended Version]

    Intriguing Properties of Adversarial ML Attacks in the Problem Space [Extended Version] by Cortellazzi, Jacopo, Pendlebury, Feargus, Arp, Daniel, Quiring, Erwin, Pierazzi, Fabio, Cavallaro, Lorenzo

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  11. 11
    Misleading Deep-Fake Detection with GAN Fingerprints

    Misleading Deep-Fake Detection with GAN Fingerprints by Wesselkamp, Vera, Rieck, Konrad, Arp, Daniel, Quiring, Erwin

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  12. 12
    No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning

    No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning by Eisenhofer, Thorsten, Quiring, Erwin, Möller, Jonas, Riepel, Doreen, Holz, Thorsten, Rieck, Konrad

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  13. 13
    On the Security and Applicability of Fragile Camera Fingerprints

    On the Security and Applicability of Fragile Camera Fingerprints by Quiring, Erwin, Kirchner, Matthias, Rieck, Konrad

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  14. 14
    Misleading Authorship Attribution of Source Code using Adversarial Learning

    Misleading Authorship Attribution of Source Code using Adversarial Learning by Quiring, Erwin, Maier, Alwin, Rieck, Konrad

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  15. 15
    Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification

    Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification by Quiring, Erwin, Pirch, Lukas, Reimsbach, Michael, Arp, Daniel, Rieck, Konrad

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  16. 16
    Dos and Don'ts of Machine Learning in Computer Security

    Dos and Don'ts of Machine Learning in Computer Security by Arp, Daniel, Quiring, Erwin, Pendlebury, Feargus, Warnecke, Alexander, Pierazzi, Fabio, Wressnegger, Christian, Cavallaro, Lorenzo, Rieck, Konrad

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  17. 17
    Fraternal Twins: Unifying Attacks on Machine Learning and Digital Watermarking

    Fraternal Twins: Unifying Attacks on Machine Learning and Digital Watermarking by Quiring, Erwin, Arp, Daniel, Rieck, Konrad

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  18. 18
    Pitfalls in Machine Learning for Computer Security

    Pitfalls in Machine Learning for Computer Security by Arp, Daniel, Quiring, Erwin, Pendlebury, Feargus, Warnecke, Alexander, Pierazzi, Fabio, Wressnegger, Christian, Cavallaro, Lorenzo, Rieck, Konrad

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  19. 19
    Lessons Learned on Machine Learning for Computer Security

    Lessons Learned on Machine Learning for Computer Security by Arp, Daniel, Quiring, Erwin, Pendlebury, Feargus, Warnecke, Alexander, Pierazzi, Fabio, Wressnegger, Christian, Cavallaro, Lorenzo, Rieck, Konrad

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