Search Results - Schonherr, Lea

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  1. 1
    A Representative Study on Human Detection of Artificially Generated Media Across Countries

    A Representative Study on Human Detection of Artificially Generated Media Across Countries by Frank, Joel, Herbert, Franziska, Ricker, Jonas, Schonherr, Lea, Eisenhofer, Thorsten, Fischer, Asja, Durmuth, Markus, Holz, Thorsten

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  2. 2
    Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams

    Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams by Acharya, Bhupendra, Saad, Muhammad, Cina, Antonio Emanuele, Schonherr, Lea, Nguyen, Hoang Dai, Oest, Adam, Vadrevu, Phani, Holz, Thorsten

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  3. 3
    Exploring accidental triggers of smart speakers

    Exploring accidental triggers of smart speakers by Schönherr, Lea, Golla, Maximilian, Eisenhofer, Thorsten, Wiele, Jan, Kolossa, Dorothea, Holz, Thorsten

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  4. 4
    Echinocandins and Their Activity against Aspergillus terreus Species Complex: a Novel Agar Screening Method

    Echinocandins and Their Activity against Aspergillus terreus Species Complex: a Novel Agar Screening Method by Lackner, Nina, Vahedi-Shahandashti, Roya, Jähnig, Sonja, Schönherr, Lea, Lass-Flörl, Cornelia

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  5. 5
    Loss Functions for Deep Monaural Speech Enhancement

    Loss Functions for Deep Monaural Speech Enhancement by Freiwald, Jan, Schonherr, Lea, Schymura, Christopher, Zeiler, Steffen, Kolossa, Dorothea

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  6. 6
    WaveFake: A Data Set to Facilitate Audio Deepfake Detection

    WaveFake: A Data Set to Facilitate Audio Deepfake Detection by Frank, Joel, Schönherr, Lea

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  7. 7
    Prompt Obfuscation for Large Language Models

    Prompt Obfuscation for Large Language Models by Pape, David, Eisenhofer, Thorsten, Schönherr, Lea

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  8. 8
    Rag and Roll: An End-to-End Evaluation of Indirect Prompt Manipulations in LLM-based Application Frameworks

    Rag and Roll: An End-to-End Evaluation of Indirect Prompt Manipulations in LLM-based Application Frameworks by De Stefano, Gianluca, Schönherr, Lea, Pellegrino, Giancarlo

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  9. 9
    Whispers in the Machine: Confidentiality in LLM-integrated Systems

    Whispers in the Machine: Confidentiality in LLM-integrated Systems by Evertz, Jonathan, Chlosta, Merlin, Schönherr, Lea, Eisenhofer, Thorsten

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  10. 10
    HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data

    HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data by Hajipour, Hossein, Schönherr, Lea, Holz, Thorsten, Fritz, Mario

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  11. 11
    Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

    Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation by Abdelnabi, Sahar, Gomaa, Amr, Sivaprasad, Sarath, Schönherr, Lea, Fritz, Mario

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  12. 12
    CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models

    CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models by Hajipour, Hossein, Hassler, Keno, Holz, Thorsten, Schönherr, Lea, Fritz, Mario

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  13. 13
    Fake It Until You Break It: On the Adversarial Robustness of AI-generated Image Detectors

    Fake It Until You Break It: On the Adversarial Robustness of AI-generated Image Detectors by Mavali, Sina, Ricker, Jonas, Pape, David, Sharma, Yash, Fischer, Asja, Schönherr, Lea

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  14. 14
    (\sigma\)-zero: Gradient-based Optimization of \(\ell_0\)-norm Adversarial Examples

    (\sigma\)-zero: Gradient-based Optimization of \(\ell_0\)-norm Adversarial Examples by Cinà, Antonio Emanuele, Villani, Francesco, Pintor, Maura, Schönherr, Lea, Biggio, Battista, Pelillo, Marcello

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  15. 15
    A Representative Study on Human Detection of Artificially Generated Media Across Countries

    A Representative Study on Human Detection of Artificially Generated Media Across Countries by Frank, Joel, Herbert, Franziska, Ricker, Jonas, Schönherr, Lea, Eisenhofer, Thorsten, Fischer, Asja, Dürmuth, Markus, Holz, Thorsten

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  16. 16
    On the Limitations of Model Stealing with Uncertainty Quantification Models

    On the Limitations of Model Stealing with Uncertainty Quantification Models by Pape, David, Däubener, Sina, Eisenhofer, Thorsten, Cinà, Antonio Emanuele, Schönherr, Lea

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  17. 17
    VenoMave: Targeted Poisoning Against Speech Recognition

    VenoMave: Targeted Poisoning Against Speech Recognition by Aghakhani, Hojjat, Schönherr, Lea, Eisenhofer, Thorsten, Kolossa, Dorothea, Holz, Thorsten, Kruegel, Christopher, Vigna, Giovanni

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  18. 18
    Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams

    Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams by Acharya, Bhupendra, Saad, Muhammad, Cinà, Antonio Emanuele, Schönherr, Lea, Hoang Dai Nguyen, Oest, Adam, Vadrevu, Phani, Holz, Thorsten

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  19. 19
    Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems

    Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems by Schönherr, Lea, Eisenhofer, Thorsten, Zeiler, Steffen, Holz, Thorsten, Kolossa, Dorothea

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  20. 20
    Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification

    Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification by Däubener, Sina, Schönherr, Lea, Fischer, Asja, Kolossa, Dorothea

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