Application of list decoding of convolutional codes in steganography. - Klim Kireev; Grigorii Melnikov; Edgar Kaziakhmedov (REDUNDANCY, 2019)

Real-world attack on MTCNN face detection system. - Edgar Kaziakhmedov; Klim Kireev; Grigorii Melnikov; Mikhail Pautov; Aleksandr Petiushko (CoRR, 2019)

On adversarial patches: real-world attack on ArcFace-100 face recognition system. - Mikhail Pautov; Grigorii Melnikov; Edgar Kaziakhmedov; Klim Kireev; Aleksandr Petiushko (CoRR, 2019)

Black-Box Face Recovery from Identity Features. - Anton Razzhigaev; Klim Kireev; Edgar Kaziakhmedov; Nurislam Tursynbek; Aleksandr Petiushko (ECCV Workshops (5), 2020)

Darker than Black-Box: Face Reconstruction from Similarity Queries. - Anton Razzhigaev; Klim Kireev; Igor Udovichenko; Aleksandr Petiushko (CoRR, 2021)

On the effectiveness of adversarial training against common corruptions. - Klim Kireev; Maksym Andriushchenko; Nicolas Flammarion (UAI, 2022)

Adversarial Robustness for Tabular Data through Cost and Utility Awareness. - Klim Kireev; Bogdan Kulynych; Carmela Troncoso (NDSS, 2023)

Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings. - Klim Kireev; Maksym Andriushchenko; Carmela Troncoso; Nicolas Flammarion (NeurIPS, 2023)

Characterizing and Detecting Propaganda-Spreading Accounts on Telegram. - Klim Kireev; Yevhen Mykhno; Carmela Troncoso; Rebekah Overdorf (CoRR, 2024)

A Telegram Dataset of Propaganda and its Moderation. - Klim Kireev; Yevhen Mykhno; Carmela Troncoso; Rebekah Overdorf (ICWSM, 2025)

Inverting Black-Box Face Recognition Systems via Zero-Order Optimization in Eigenface Space. - Anton Razzhigaev; Matvey Mikhalchuk; Klim Kireev; Igor Udovichenko; Andrey Kuznetsov; Aleksandr Petiushko (CoRR, 2025)

A Manually Annotated Image-Caption Dataset for Detecting Children in the Wild. - Klim Kireev; Ana-Maria Cretu 002; Raphael Meier; Sarah Adel Bargal; Elissa M. Redmiles; Carmela Troncoso (CoRR, 2025)