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Hong, Sanghyun

  1. Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks
    2019/06/03 by Hong, Sanghyun, Frigo, Pietro, Kaya, Yiğitcan +2 · 5 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  2. Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes
    2021/10/26 by Sanghyun Hong, Michael-Andrei Panaitescu-Liess, Hong, Sanghyun +5 · 6 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI)
  3. Summoning Demons: The Pursuit of Exploitable Bugs in Machine Learning
    2017/01/17 by Rock Stevens, Octavian Suciu, Stevens, Rock +9 · 1 voice · 1 citation
    Computer Science · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CR #cs.LG
  4. Handcrafted Backdoors in Deep Neural Networks
    2021/06/08 by Sanghyun Hong, Hong, Sanghyun, Nicholas Carlini +3 · 5 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection
  5. SoK: Watermarking for AI-Generated Content
    2024/11/27 by Xuandong Zhao, Sam Gunn, Zhao, Xuandong +25 · 13 citations
    Computer Science · #Advanced Steganography and Watermarking Techniques #Artificial Intelligence (cs.AI) #Chaos-based Image/Signal Encryption #Computer Graphics and Visualization Techniques #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference
    2020/10/06 by Sanghyun Hong, Hong, Sanghyun, Yiğitcan Kaya +5 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Advanced Neural Network Applications
  7. PrisonBreak: Jailbreaking Large Language Models with at Most Twenty-Five Targeted Bit-flips
    2024/12/10 by Zachary Coalson, Coalson, Zachary, Jeonghyun Woo +16 · 9 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #Digital and Cyber Forensics #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Machine Learning (cs.LG)
  8. Parameterized Physics-informed Neural Networks for Parameterized PDEs
    2024/08/18 by Woojin Cho, Minju Jo, Cho, Woojin +11 · 6 citations
    Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Neural Networks and Applications
  9. Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets
    2022/03/31 by Tramèr, Florian, Shokri, Reza, Joaquin, Ayrton San +4 · 3 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks
    2018/10/08 by Sanghyun Hong, Michael Davinroy, Hong, Sanghyun +13 · 2 citations
    Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Security and Verification in Computing
  11. Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
    2024/04/01 by Wen, Yuxin, Marchyok, Leo, Hong, Sanghyun +3 · 3 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  12. Bundling dynamics regulates the active mechanics and transport in carbon nanotube networks
    2011/08/09 by Myung Gwan Hahm, Hahm, Myung Gwan, Hailong Wang +13 · 1 citation
    Materials Science · Physics and Astronomy · #Carbon Nanotubes in Composites #Conducting polymers and applications #FOS: Physical sciences #Force Microscopy Techniques and Applications #Materials Science (cond-mat.mtrl-sci) #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Soft Condensed Matter (cond-mat.soft)
  13. Visualizationary: Automating Design Feedback for Visualization Designers using LLMs
    2024/09/19 by Sungbok Shin, Sanghyun Hong, Shin, Sungbok +3 · 1 voice · 2 citations
    Business, Management and Accounting · Computer Science · #Business Process Modeling and Analysis #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Semantic Web and Ontologies
  14. PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images
    2024/02/20 by Jeon, Jinsung, Jin, Hyundong, Choi, Jonghyun +4 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  15. On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping
    2020/02/26 by Hong, Sanghyun, Chandrasekaran, Varun, Kaya, Yiğitcan +2 · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  16. On the Effectiveness of Regularization Against Membership Inference Attacks
    2020/06/09 by Yiğitcan Kaya, Kaya, Yigitcan, Sanghyun Hong +3 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Privacy-Preserving Technologies in Data #Advanced Neural Network Applications
  17. Data Poisoning Won't Save You From Facial Recognition
    2021/06/28 by Evani Radiya-Dixit, Radiya-Dixit, Evani, Hong, Sanghyun +2 · 1 citation
    Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #Digital Media Forensic Detection #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. Perceptual Pat: A Virtual Human System for Iterative Visualization Design
    2023/03/12 by Shin, Sungbok, Hong, Sanghyun, Elmqvist, Niklas · 1 citation
    #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC)
  19. Time Series Forecasting with Hypernetworks Generating Parameters in Advance
    2022/11/22 by Lee, Jaehoon, Kim, Chan, Lee, Gyumin +6 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  20. Publishing Efficient On-device Models Increases Adversarial Vulnerability
    2022/12/28 by Hong, Sanghyun, Carlini, Nicholas, Kurakin, Alexey · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  21. You Never Know: Quantization Induces Inconsistent Biases in Vision-Language Foundation Models
    2024/10/26 by Slyman, Eric, Kanneganti, Anirudh, Hong, Sanghyun +1 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)