Antonio Emanuele Cin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
11
Active years
2021–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples. | Antonio Emanuele Cin, Jrme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli |
| 2025 | DIMVA | Exploring the Potential of LLMs for Code Deobfuscation. | David Beste, Grgoire Menguy, Hossein Hajipour, Mario Fritz, Antonio Emanuele Cin, Sbastien Bardin, Thorsten Holz, Thorsten Eisenhofer, Lea Schnherr |
| 2025 | ICLR | σ-zero: Gradient-based Optimization of ℓ0-norm Adversarial Examples. | Antonio Emanuele Cin, Francesco Villani, Maura Pintor, Lea Schnherr, Battista Biggio, Marcello Pelillo |
| 2025 | ISSRE | Code Generation of Smart Contracts with LLMs: A Case Study on Hyperledger Fabric. | Luca Olivieri, David Beste, Luca Negrini, Lea Schnherr, Antonio Emanuele Cin, Pietro Ferrara |
| 2025 | WWW | Pirates of Charity: Exploring Donation-based Abuses in Social Media Platforms. | Bhupendra Acharya, Dario Lazzaro, Antonio Emanuele Cin, Thorsten Holz |
| 2024 | ECAI | Understanding XAI Through the Philosopher's Lens: A Historical Perspective. | Martina Mattioli, Antonio Emanuele Cin, Marcello Pelillo |
| 2024 | ICMLA | Toward Measuring and Understanding the Overvalidation Phenomena. | Fabrizio Mori, Antonio Emanuele Cin, Fabio Roli, Davide Anguita, Luca Oneto |
| 2024 | SP | Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams. | Bhupendra Acharya, Muhammad Saad, Antonio Emanuele Cin, Lea Schnherr, Hoang Dai Nguyen, Adam Oest, Phani Vadrevu, Thorsten Holz |
| 2023 | ESANN | On the Limitations of Model Stealing with Uncertainty Quantification Models. | David Pape, Sina Dubener, Thorsten Eisenhofer, Antonio Emanuele Cin, Lea Schnherr |
| 2023 | ICIAP | Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training. | Dario Lazzaro, Antonio Emanuele Cin, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo |
| 2021 | IJCNN | The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers? | Antonio Emanuele Cin, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo |