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Adam Dziedzic

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

24

Venues

11

Active years

2016–2026

Best venue rank

A*

Where they publish

Papers

24 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIDemystifying Foreground-Background Memorization in Diffusion Models.Jimmy Z. Di, Yiwei Lu, Yaoliang Yu, Gautam Kamath, Adam Dziedzic, Franziska Boenisch
2026AAAIBeautiful Images, Toxic Words: Understanding and Addressing Offensive Text in Generated Images.Aditya Kumar, Tom Blanchard, Adam Dziedzic, Franziska Boenisch
2026AAAIOn Stealing Graph Neural Network Models.Marcin Podhajski, Jan Dubinski, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz Pawel Michalak
2026AsiaCCSADAGE: Active Defenses Against GNN Extraction.Jing Xu, Franziska Boenisch, Adam Dziedzic
2025AAAIDifferentially Private Prototypes for Imbalanced Transfer Learning.Dariush Wahdany, Matthew Jagielski, Adam Dziedzic, Franziska Boenisch
2025CCSSecure Noise Sampling for Differentially Private Collaborative Learning.Olive Franzese, Congyu Fang, Radhika Garg, Xiao Wang, Somesh Jha, Nicolas Papernot, Adam Dziedzic
2025CVPRCDI: Copyrighted Data Identification in Diffusion Models.Jan Dubinski, Antoni Kowalczuk, Franziska Boenisch, Adam Dziedzic
2025ICLRDifferentially Private Federated Learning with Time-Adaptive Privacy Spending.Shahrzad Kiani, Nupur Kulkarni, Adam Dziedzic, Stark C. Draper, Franziska Boenisch
2025ICLRPrecise Parameter Localization for Textual Generation in Diffusion Models.Lukasz Staniszewski, Bartosz Cywinski, Franziska Boenisch, Kamil Deja, Adam Dziedzic
2025ICLRCaptured by Captions: On Memorization and its Mitigation in CLIP Models.Wenhao Wang, Adam Dziedzic, Grace C. Kim, Michael Backes, Franziska Boenisch
2025ICMLPrivacy Attacks on Image AutoRegressive Models.Antoni Kowalczuk, Jan Dubinski, Franziska Boenisch, Adam Dziedzic
2025ICMLEfficient and Privacy-Preserving Soft Prompt Transfer for LLMs.Xun Wang, Jing Xu, Franziska Boenisch, Michael Backes, Christopher A. Choquette-Choo, Adam Dziedzic
2025ICMLUnlocking Post-hoc Dataset Inference with Synthetic Data.Bihe Zhao, Pratyush Maini, Franziska Boenisch, Adam Dziedzic
2024ECAIEfficient Model-Stealing Attacks Against Inductive Graph Neural Networks.Marcin Podhajski, Jan Dubinski, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz P. Michalak
2024ICLRMemorization in Self-Supervised Learning Improves Downstream Generalization.Wenhao Wang, Muhammad Ahmad Kaleem, Adam Dziedzic, Michael Backes, Nicolas Papernot, Franziska Boenisch
2022ICLRIncreasing the Cost of Model Extraction with Calibrated Proof of Work.Adam Dziedzic, Muhammad Ahmad Kaleem, Yu Shen Lu, Nicolas Papernot
2022ICMLOn the Difficulty of Defending Self-Supervised Learning against Model Extraction.Adam Dziedzic, Nikita Dhawan, Muhammad Ahmad Kaleem, Jonas Guan, Nicolas Papernot
2021ICLRCaPC Learning: Confidential and Private Collaborative Learning.Christopher A. Choquette-Choo, Natalie Dullerud, Adam Dziedzic, Yunxiang Zhang, Somesh Jha, Nicolas Papernot, Xiao Wang
2020ACLPretrained Transformers Improve Out-of-Distribution Robustness.Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, Adam Dziedzic, Rishabh Krishnan, Dawn Song
2019CIDRDeepLens: Towards a Visual Data Management System.Sanjay Krishnan, Adam Dziedzic, Aaron J. Elmore
2019ICMLBand-limited Training and Inference for Convolutional Neural Networks.Adam Dziedzic, John Paparrizos, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin
2018SIGMODColumnstore and B+ tree - Are Hybrid Physical Designs Important?Adam Dziedzic, Jingjing Wang, Sudipto Das, Bolin Ding, Vivek R. Narasayya, Manoj Syamala
2017CIDRDemonstrating the BigDAWG Polystore System for Ocean Metagenomics Analysis.Tim Mattson, Vijay Gadepally, Zuohao She, Adam Dziedzic, Jeff Parkhurst
2016VLDBDBMS Data Loading: An Analysis on Modern Hardware.Adam Dziedzic, Manos Karpathiotakis, Ioannis Alagiannis, Raja Appuswamy, Anastasia Ailamaki