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Ross Anderson

  1. Dynamic / ME-JEPA v2.0.0-rc1: Audited World-Model Runtime and Verified Training-Corpus Artifact
    Recursive training on model-generated data causes generative models to lose information about rare events and eventually collapse into inaccurate outputs.
    2023/05/27 by Ilia Shumailov, Zakhar Shumaylov, Shumailov, Ilia +9 · 59 voices · 69 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Computational Physics and Python Applications
  2. Bugs in our pockets: the risks of client-side scanning
    2021/10/14 by Hal Abelson, Harold Abelson, Ross Anderson +13 · 9 voices · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Privacy-Preserving Technologies in Data #Advanced Malware Detection Techniques
  3. AI models collapse when trained on recursively generated data
    2024/07/24 by Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao +3 · 6 voices · 175 citations
    Computer Science · #Topic Modeling #Generative Adversarial Networks and Image Synthesis #Domain Adaptation and Few-Shot Learning
  4. Hearing your touch: A new acoustic side channel on smartphones
    2019/03/26 by Ilia Shumailov, Laurent Simon, Shumailov, Ilia +5 · 3 voices · 1 citation
    #cs.CR #cs.AI
  5. Bad Characters: Imperceptible NLP Attacks
    2021/06/18 by Nicholas Boucher, Ilia Shumailov, Boucher, Nicholas +5 · 1 voice · 6 citations
    Computer Science · #Adversarial Robustness in Machine Learning
  6. Strong mixed-integer programming formulations for trained neural networks
    2020/02/13 by Ross Anderson, Joey Huchette, Will Ma +2 · 18 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Algorithms #Advanced Neural Network Applications
  7. Maxwell's fluid model of magnetism
    2015/02/20 by Robert Brady, Brady, Robert, Ross Anderson +1 · 2 voices
    #quant-ph
  8. Strong mixed-integer programming formulations for trained neural networks
    2018/11/20 by Ross Anderson, Anderson, Ross, Joey Huchette +5 · 13 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Mathematics #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning and Algorithms #Optimization and Control (math.OC)
  9. Getting Bored of Cyberwar: Exploring the Role of Low-level Cybercrime Actors in the Russia-Ukraine Conflict
    2022/08/22 by Anh V. Vu, Daniel R. Thomas, Ben Collier +3 · 4 voices
    #cs.CR #cs.CY
  10. Trojan Source: Invisible Vulnerabilities
    2021/10/30 by Nicholas Boucher, Ross Anderson, Boucher, Nicholas +1 · 3 voices · 1 citation
    Computer Science · #Advanced Malware Detection Techniques #Security and Verification in Computing #Web Application Security Vulnerabilities #cs.CR #cs.PL
  11. CAQL: Continuous Action Q-Learning
    2019/09/26 by Moonkyung Ryu, Ryu, Moonkyung, Yinlam Chow +7 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
  12. One Protocol to Rule Them All? On Securing Interoperable Messaging
    2023/03/24 by Jenny Blessing, Ross Anderson, Blessing, Jenny +1 · 1 voice · 1 citation
    Computer Science · Social Sciences · #Advanced Authentication Protocols Security #Computers and Society (cs.CY) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Privacy, Security, and Data Protection #User Authentication and Security Systems #cs.CR #cs.CY
  13. The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification
    2020/06/24 by Christian Tjandraatmadja, Tjandraatmadja, Christian, Ross Anderson +9 · 3 citations
    Computer Science · Engineering · #68T07 #Advanced Memory and Neural Computing #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. Sitatapatra: Blocking the Transfer of Adversarial Samples
    2019/01/23 by Ilia Shumailov, Xitong Gao, Shumailov, Ilia +9 · 1 citation
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Physical Unclonable Functions (PUFs) and Hardware Security
  15. Tendrils of Crime: Visualizing the Diffusion of Stolen Bitcoins
    2019/01/07 by Mansoor Ahmed-Rengers, Ahmed-Rengers, Mansoor, Ilia Shumailov +3 · 1 voice
    Computer Science · #Anomaly Detection Techniques and Applications #Blockchain Technology Applications and Security #Computers and Society (cs.CY) #Cryptography and Security (cs.CR) #Data Visualization and Analytics #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #cs.CR #cs.CY #cs.HC
  16. When Vision Fails: Text Attacks Against ViT and OCR
    2023/06/12 by Nicholas Boucher, Boucher, Nicholas, Jenny Blessing +7 · 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)