Kristian Georgiev

15 papers A* 7Journal 8
YearRankTypeTitle / Venue / Authors
2025 A* conf
Machine Unlearning via Simulated Oracle Matching.
ICLR
Kristian Georgiev, Roy Rinberg, Sung Min Park, Shivam Garg, Andrew Ilyas, Aleksander Madry, Seth Neel
2024 J jnl
Attribute-to-Delete: Machine Unlearning via Datamodel Matching.
CoRR
Kristian Georgiev, Roy Rinberg, Sung Min Park, Shivam Garg, Andrew Ilyas, Aleksander Madry, Seth Neel
2024 A* conf
ContextCite: Attributing Model Generation to Context.
NeurIPS
Benjamin Cohen-Wang, Harshay Shah, Kristian Georgiev, Aleksander Madry
2024 J jnl
ContextCite: Attributing Model Generation to Context.
CoRR
Benjamin Cohen-Wang, Harshay Shah, Kristian Georgiev, Aleksander Madry
2024 J jnl
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection.
CoRR
Saachi Jain, Kimia Hamidieh, Kristian Georgiev, Andrew Ilyas, Marzyeh Ghassemi, Aleksander Madry
2024 A* conf
Improving Subgroup Robustness via Data Selection.
NeurIPS
Saachi Jain, Kimia Hamidieh, Kristian Georgiev, Andrew Ilyas, Marzyeh Ghassemi, Aleksander Madry
2023 A* conf
Rethinking Backdoor Attacks.
ICML
Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry
2023 J jnl
Rethinking Backdoor Attacks.
CoRR
Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry
2023 A* conf
TRAK: Attributing Model Behavior at Scale.
ICML
Sung Min Park, Kristian Georgiev, Andrew Ilyas, Guillaume Leclerc, Aleksander Madry
2023 J jnl
TRAK: Attributing Model Behavior at Scale.
CoRR
Sung Min Park, Kristian Georgiev, Andrew Ilyas, Guillaume Leclerc, Aleksander Madry
2023 J jnl
The Journey, Not the Destination: How Data Guides Diffusion Models.
CoRR
Kristian Georgiev, Joshua Vendrow, Hadi Salman, Sung Min Park, Aleksander Madry
2022 A* conf
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation.
NeurIPS
Kristian Georgiev, Samuel B. Hopkins
2022 J jnl
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation.
CoRR
Kristian Georgiev, Samuel B. Hopkins
2021 J jnl
Implicit Bias of Linear Equivariant Networks.
CoRR
Hannah Lawrence, Kristian Georgiev, Andrew Dienes, Bobak Toussi Kiani
2021 A* conf
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning.
NeurIPS
Alireza Fallah, Kristian Georgiev, Aryan Mokhtari, Asuman E. Ozdaglar