IEEE SaTML 2024 Conference Submissions

EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning
Hiroya Kato, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk
IEEE SaTML 2024 Conference Submission34 Authors
- Published: 07 Mar 2024, Last Modified: 11 Apr 2024
- SaTML 2024
- Readers: Everyone
REStore: Exploring a Black-Box Defense against DNN Backdoors using Rare Event Simulation
Quentin Le Roux, Kassem Kallas, Teddy Furon
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
Chulin Xie, Pin-Yu Chen, Qinbin Li, Arash Nourian, Ce Zhang, Bo Li
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
Certifiably Robust Reinforcement Learning through Model-Based Abstract Interpretation
Chenxi Yang, Greg Anderson, Swarat Chaudhuri
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
Backdoor Attack on Un-paired Medical Image-Text Pretrained Models: A Pilot Study on MedCLIP
Ruinan Jin, Chun-Yin Huang, Chenyu You, Xiaoxiao Li
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders
Andrew Geng, Pin-Yu Chen
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
Probabilistic Dataset Reconstruction from Interpretable Models
Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone
Evaluating Superhuman Models with Consistency Checks
Lukas Fluri, Daniel Paleka, Florian Tramèr
- Published: 07 Mar 2024, Last Modified: 07 Mar 2024
- SaTML 2024
- Readers: Everyone