Ali Shahin Shamsabadi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
10
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CCS | Untitled record | Ali Shahin Shamsabadi, Peter Snyder, Ralph Giles, Aurlien Bellet, Hamed Haddadi |
| 2025 | EMNLP | Context-Aware Membership Inference Attacks against Pre-trained Large Language Models. | Hongyan Chang, Ali Shahin Shamsabadi, Kleomenis Katevas, Hamed Haddadi, Reza Shokri |
| 2025 | EMNLP | Membership and Memorization in LLM Knowledge Distillation. | Ziqi Zhang, Ali Shahin Shamsabadi, Hanxiao Lu, Yifeng Cai, Hamed Haddadi |
| 2025 | ICML | Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention. | Stephan Rabanser, Ali Shahin Shamsabadi, Olive Franzese, Xiao Wang, Adrian Weller, Nicolas Papernot |
| 2024 | ICLR | Confidential-DPproof: Confidential Proof of Differentially Private Training. | Ali Shahin Shamsabadi, Gefei Tan, Tudor Cebere, Aurlien Bellet, Hamed Haddadi, Nicolas Papernot, Xiao Wang, Adrian Weller |
| 2023 | ICLR | Confidential-PROFITT: Confidential PROof of FaIr Training of Trees. | Ali Shahin Shamsabadi, Sierra Calanda Wyllie, Nicholas Franzese, Natalie Dullerud, Sbastien Gambs, Nicolas Papernot, Xiao Wang, Adrian Weller |
| 2023 | UAI | Mnemonist: Locating Model Parameters that Memorize Training Examples. | Ali Shahin Shamsabadi, Jamie Hayes, Borja Balle, Adrian Weller |
| 2022 | ICLR | A Zest of LIME: Towards Architecture-Independent Model Distances. | Hengrui Jia, Hongyu Chen, Jonas Guan, Ali Shahin Shamsabadi, Nicolas Papernot |
| 2021 | ICASSP | FoolHD: Fooling Speaker Identification by Highly Imperceptible Adversarial Disturbances. | Ali Shahin Shamsabadi, Francisco Seplveda Teixeira, Alberto Abad, Bhiksha Raj, Andrea Cavallaro, Isabel Trancoso |
| 2021 | ICIP | On the Reversibility of Adversarial Attacks. | Chau Yi Li, Ricardo Snchez-Matilla, Ali Shahin Shamsabadi, Riccardo Mazzon, Andrea Cavallaro |
| 2020 | CVPR | ColorFool: Semantic Adversarial Colorization. | Ali Shahin Shamsabadi, Ricardo Snchez-Matilla, Andrea Cavallaro |
| 2020 | ICASSP | Edgefool: an Adversarial Image Enhancement Filter. | Ali Shahin Shamsabadi, Changjae Oh, Andrea Cavallaro |
| 2020 | Mobisys | DarkneTZ: towards model privacy at the edge using trusted execution environments. | Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Soteris Demetriou, Ilias Leontiadis, Andrea Cavallaro, Hamed Haddadi |
| 2019 | CCS | QUOTIENT: Two-Party Secure Neural Network Training and Prediction. | Nitin Agrawal, Ali Shahin Shamsabadi, Matt J. Kusner, Adri Gascn |
| 2019 | CCS | Poster: Towards Characterizing and Limiting Information Exposure in DNN Layers. | Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Andrea Cavallaro, Hamed Haddadi |
| 2019 | ICASSP | Scene Privacy Protection. | Chau Yi Li, Ali Shahin Shamsabadi, Ricardo Sanchez-Matilla, Riccardo Mazzon, Andrea Cavallaro |
| 2018 | ICIP | Distributed One-Class Learning. | Ali Shahin Shamsabadi, Hamed Haddadi, Andrea Cavallaro |
| 2018 | SENSYS | Providing Occupancy as a Service with Databox. | Poonam Yadav, John Moore, Qi Li, Richard Mortier, Anthony Brown, Andy Crabtree, Chris Greenhalgh, Derek McAuley, Yousef Amar, Ali Shahin Shamsabadi, Hamed Haddadi |