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Lukas Struppek

  1. Evaluating the Social Impact of Generative AI Systems in Systems and Society
    2023/06/09 by Irene Solaiman, Solaiman, Irene, Zeerak Talat +59 · 4 voices · 11 citations
    #cs.CY #cs.AI
  2. Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash
    2021/11/12 by Lukas Struppek, Dominik Hintersdorf, Daniel Neider +1 · 2 voices · 2 citations
    Computer Science · #Advanced Steganography and Watermarking Techniques #Adversarial Robustness in Machine Learning #Digital Media Forensic Detection #cs.CR #cs.CV #cs.LG
  3. Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis
    2022/11/04 by Lukas Struppek, Dominik Hintersdorf, Struppek, Lukas +3 · 6 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
  4. Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks
    2022/01/28 by Lukas Struppek, Dominik Hintersdorf, Struppek, Lukas +7 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
  5. Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks
    2023/10/10 by Lukas Struppek, Dominik Hintersdorf, Struppek, Lukas +3 · 3 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation
    2024/12/06 by David Steinmann, Felix Divo, Steinmann, David +11 · 5 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Imbalanced Data Classification Techniques #Machine Learning and Data Classification
  7. To Trust or Not To Trust Prediction Scores for Membership Inference Attacks
    2021/11/17 by Dominik Hintersdorf, Hintersdorf, Dominik, Lukas Struppek +3 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  8. Defending Our Privacy With Backdoors
    2023/10/12 by Dominik Hintersdorf, Hintersdorf, Dominik, Lukas Struppek +5 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  9. Exploring the Adversarial Capabilities of Large Language Models
    2024/02/14 by Lukas Struppek, Struppek, Lukas, Minh Hieu Le +5 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling