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Rohit Gandikota

  1. Agents of Chaos
    2026/02/23 by Natalie Shapira, Chris Wendler, Avery Yen +35 · 76 voices · 5 citations
    #cs.AI #cs.CY
  2. Unified Concept Editing in Diffusion Models
    2023/08/25 by Rohit Gandikota, Hadas Orgad, Gandikota, Rohit +7 · 61 citations
    Computer Science · #Multimodal Machine Learning Applications #Generative Adversarial Networks and Image Synthesis #Internet Traffic Analysis and Secure E-voting
  3. Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models
    2023/11/20 by Rohit Gandikota, Joanna Materzynska, Gandikota, Rohit +7 · 1 voice · 22 citations
    #cs.CV
  4. Erasing Conceptual Knowledge from Language Models
    2024/10/03 by Rohit Gandikota, Gandikota, Rohit, Sheridan Feucht +5 · 7 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
  5. Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities
    2025/02/03 by Zora Che, Stephen Casper, Che, Zora +27 · 10 citations
    Computer Science · #Security and Verification in Computing #Advanced Malware Detection Techniques #Network Security and Intrusion Detection
  6. When Are Concepts Erased From Diffusion Models?
    2025/05/22 by Kunpeng Lu, Nicky Kriplani, Lu, Kevin +11 · 3 citations
    Social Sciences · Computer Science · #Misinformation and Its Impacts #Domain Adaptation and Few-Shot Learning #Topic Modeling
  7. Discovering Forbidden Topics in Language Models
    2025/05/23 by Can Rager, Rager, Can, Chris Wendler +5 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  8. Opt-In Art: Learning Art Styles Only from Few Examples
    2024/11/29 by Hui Ren, Joanna Materzyńska, Ren, Hui +8 · 3 voices
    Arts and Humanities · #Art, Technology, and Culture #Artistic and Creative Research #Art History and Market Analysis