most citedCharacterizing and Detecting Propaganda-Spreading Accounts on Telegram

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2025

Evaluating Concept Filtering Defenses against Child Sexual Abuse Material Generation by Text-to-Image Models

Ana-Maria Cretu, Klim Kireev, Amro Abdalla +5

We evaluate the effectiveness of filtering child images from training datasets of text-to-image models to prevent model misuse to create child sexual abuse material (CSAM). First,…

cs.CV2025

A Manually Annotated Image-Caption Dataset for Detecting Children in the Wild

Klim Kireev, Ana-Maria Creţu, Raphael Meier +3

Platforms and the law regulate digital content depicting minors (defined as individuals under 18 years of age) differently from other types of content. Given the sheer amount of co…

cs.SI2024★ 2 cited

Characterizing and Detecting Propaganda-Spreading Accounts on Telegram

Klim Kireev, Yevhen Mykhno, Carmela Troncoso +1

Information-based attacks on social media, such as disinformation campaigns and propaganda, are emerging cybersecurity threats. The security community has focused on countering the…

cs.CR2024

SINBAD: Saliency-informed detection of breakage caused by ad blocking

Saiid El Hajj Chehade, Sandra Siby, Carmela Troncoso

Privacy-enhancing blocking tools based on filter-list rules tend to break legitimate functionality. Filter-list maintainers could benefit from automated breakage detection tools th…

cs.CR2024

Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks

Dario Pasquini, Martin Strohmeier, Carmela Troncoso

We introduce a new family of prompt injection attacks, termed Neural Exec. Unlike known attacks that rely on handcrafted strings (e.g., "Ignore previous instructions and..."), we s…