|
Poster
|
Tue 9:00 |
GlanceNets: Interpretable, Leak-proof Concept-based Models Emanuele Marconato · Andrea Passerini · Stefano Teso |
|
|
Poster
|
Wed 14:00 |
Addressing Leakage in Concept Bottleneck Models Marton Havasi · Sonali Parbhoo · Finale Doshi-Velez |
|
|
Poster
|
Wed 14:00 |
M$^4$I: Multi-modal Models Membership Inference Pingyi Hu · Zihan Wang · Ruoxi Sun · Hu Wang · Minhui Xue |
|
|
Poster
|
Thu 9:00 |
In Differential Privacy, There is Truth: on Vote-Histogram Leakage in Ensemble Private Learning JIAQI WANG · Roei Schuster · I Shumailov · David Lie · Nicolas Papernot |
|
|
Poster
|
Wed 9:00 |
LAMP: Extracting Text from Gradients with Language Model Priors Mislav Balunovic · Dimitar Dimitrov · Nikola Jovanović · Martin Vechev |
|
|
Workshop
|
Private Data Leakage via Exploiting Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems Hanieh Hashemi · Wenjie Xiong · Liu Ke · Kiwan Maeng · Murali Annavaram · G. Edward Suh · Hsien-Hsin Lee |
||
|
Workshop
|
Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information Kiwan Maeng · Chuan Guo · Sanjay Kariyappa · G. Edward Suh |