| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
CoRR
|
| 2026 | J | jnl |
CoRR
|
| 2026 | J | jnl |
CoRR
|
| 2026 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
Training data membership inference via Gaussian process meta-modeling: a post-hoc analysis approach.
CoRR
|
| 2024 | J | jnl |
Data
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
Appl. Math. Comput.
|
| 2022 | J | jnl |
CoRR
|
| 2021 | J | jnl |
CoRR
|
| 2020 | J | jnl |
CoRR
|
| 2019 | — | conf |
ABCD-NP@MICCAI
|