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Adam Dziedzic

22 papers at tracked venues · 20 at CORE A* · active 2024–2026

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Venues

NeurIPS ×7AAAI ×4ICLR ×4ICML ×3AsiaCCS ×1CCS ×1CVPR ×1ECAI ×1

Frequent coauthors

Franziska Boenisch
×20
Michael Backes
×5
Jan Dubinski
×4
Jing Xu
×3
Wenhao Wang
×3
Nicolas Papernot
×3
Tom Blanchard
×2
Marcin Podhajski
×2
Agnieszka Pregowska
×2
Tomasz P. Michalak
×2
Bihe Zhao
×2
Antoni Kowalczuk
×2

Papers

  1. ADAGE: Active Defenses Against GNN Extraction
    AsiaCCS 2026 ·
    Jing Xu
    ,
    Franziska Boenisch
    , Adam Dziedzic
  2. Beautiful Images, Toxic Words: Understanding and Addressing Offensive Text in Generated Images
    AAAI 2026 ·
    Aditya Kumar
    ,
    Tom Blanchard
    , Adam Dziedzic,
    Franziska Boenisch
  3. Demystifying Foreground-Background Memorization in Diffusion Models
    AAAI 2026 ·
    Jimmy Z. Di
    ,
    Yiwei Lu
    ,
    Yaoliang Yu
    ,
    Gautam Kamath
    , Adam Dziedzic,
    Franziska Boenisch
  4. On Stealing Graph Neural Network Models
    AAAI 2026 ·
    Marcin Podhajski
    ,
    Jan Dubinski
    ,
    Franziska Boenisch
    , Adam Dziedzic,
    Agnieszka Pregowska
    ,
    Tomasz Pawel Michalak
  5. BitMark: Watermarking Bitwise Autoregressive Image Generative Models
    NeurIPS 2025 ·
    Louis Kerner
    ,
    Michel Meintz
    ,
    Bihe Zhao
    ,
    Franziska Boenisch
    , Adam Dziedzic
  6. CDI: Copyrighted Data Identification in Diffusion Models
    CVPR 2025 ·
    Jan Dubinski
    ,
    Antoni Kowalczuk
    ,
    Franziska Boenisch
    , Adam Dziedzic
  7. Captured by Captions: On Memorization and its Mitigation in CLIP Models
    ICLR 2025 ·
    Wenhao Wang
    , Adam Dziedzic,
    Grace C. Kim
    ,
    Michael Backes
    ,
    Franziska Boenisch
  8. Differentially Private Federated Learning with Time-Adaptive Privacy Spending
    ICLR 2025 ·
    Shahrzad Kiani
    ,
    Nupur Kulkarni
    , Adam Dziedzic,
    Stark C. Draper
    ,
    Franziska Boenisch
  9. Differentially Private Prototypes for Imbalanced Transfer Learning
    AAAI 2025 ·
    Dariush Wahdany
    ,
    Matthew Jagielski
    , Adam Dziedzic,
    Franziska Boenisch
  10. Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs
    ICML 2025 ·
    Xun Wang
    ,
    Jing Xu
    ,
    Franziska Boenisch
    ,
    Michael Backes
    ,
    Christopher A. Choquette-Choo
    , Adam Dziedzic
  11. Exploring the limits of strong membership inference attacks on large language models
    NeurIPS 2025 ·
    Jamie Hayes
    ,
    Ilia Shumailov
    ,
    Christopher A. Choquette-Choo
    ,
    Matthew Jagielski
    ,
    Georgios Kaissis
    ,
    Milad Nasr
    ,
    Meenatchi Sundaram Muthu Selva Annamalai
    ,
    Niloofar Mireshghallah
    ,
    Igor Shilov
    ,
    Matthieu Meeus
    ,
    Yves-Alexandre de Montjoye
    ,
    Katherine Lee
    ,
    Franziska Boenisch
    , Adam Dziedzic,
    A. Feder Cooper
  12. Memorization in Graph Neural Networks
    NeurIPS 2025 ·
    Adarsh Jamadandi
    ,
    Jing Xu
    , Adam Dziedzic,
    Franziska Boenisch
  13. Precise Parameter Localization for Textual Generation in Diffusion Models
    ICLR 2025 ·
    Lukasz Staniszewski
    ,
    Bartosz Cywinski
    ,
    Franziska Boenisch
    ,
    Kamil Deja
    , Adam Dziedzic
  14. Privacy Attacks on Image AutoRegressive Models
    ICML 2025 ·
    Antoni Kowalczuk
    ,
    Jan Dubinski
    ,
    Franziska Boenisch
    , Adam Dziedzic
  15. Secure Noise Sampling for Differentially Private Collaborative Learning
    CCS 2025 ·
    Olive Franzese
    ,
    Congyu Fang
    ,
    Radhika Garg
    ,
    Xiao Wang
    ,
    Somesh Jha
    ,
    Nicolas Papernot
    , Adam Dziedzic
  16. Unlocking Post-hoc Dataset Inference with Synthetic Data
    ICML 2025 ·
    Bihe Zhao
    ,
    Pratyush Maini
    ,
    Franziska Boenisch
    , Adam Dziedzic
  17. Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks
    ECAI 2024 ·
    Marcin Podhajski
    ,
    Jan Dubinski
    ,
    Franziska Boenisch
    , Adam Dziedzic,
    Agnieszka Pregowska
    ,
    Tomasz P. Michalak
  18. Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
    NeurIPS 2024 ·
    Dominik Hintersdorf
    ,
    Lukas Struppek
    ,
    Kristian Kersting
    , Adam Dziedzic,
    Franziska Boenisch
  19. LLM Dataset Inference: Did you train on my dataset?
    NeurIPS 2024 ·
    Pratyush Maini
    ,
    Hengrui Jia
    ,
    Nicolas Papernot
    , Adam Dziedzic
  20. Localizing Memorization in SSL Vision Encoders
    NeurIPS 2024 ·
    Wenhao Wang
    , Adam Dziedzic,
    Michael Backes
    ,
    Franziska Boenisch
  21. Memorization in Self-Supervised Learning Improves Downstream Generalization
    ICLR 2024 ·
    Wenhao Wang
    ,
    Muhammad Ahmad Kaleem
    , Adam Dziedzic,
    Michael Backes
    ,
    Nicolas Papernot
    ,
    Franziska Boenisch
  22. Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives
    NeurIPS 2024 ·
    Vincent Hanke
    ,
    Tom Blanchard
    ,
    Franziska Boenisch
    ,
    Iyiola E. Olatunji
    ,
    Michael Backes
    , Adam Dziedzic