| Leveraging Frequency Analysis for Deep Fake Image Recognition J Frank, T Eisenhofer, L Schönherr, A Fischer, D Kolossa, T Holz International Conference on Machine Learning (ICML), 2020 | 408 | 2020 |
| Adversarial attacks against automatic speech recognition systems via psychoacoustic hiding L Schönherr, K Kohls, S Zeiler, T Holz, D Kolossa Network and Distributed System Security Symposium (NDSS), 2019 | 324 | 2019 |
| Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems L Schönherr, T Eisenhofer, S Zeiler, T Holz, D Kolossa Annual Computer Security Applications Conference (ACSAC), 2020 | 66* | 2020 |
| Exploring accidental triggers of smart speakers L Schönherr, M Golla, T Eisenhofer, J Wiele, D Kolossa, T Holz Computer Speech & Language 73, 2022 | 62* | 2022 |
| WaveFake: a data set to facilitate audio deepfake detection J Frank, L Schönherr NeurIPS Dataset and Benchmark Track, 2021 | 54 | 2021 |
| Dompteur: Taming Audio Adversarial Examples T Eisenhofer, L Schönherr, J Frank, L Speckemeier, D Kolossa, T Holz USENIX Security Symposium, 2021 | 31 | 2021 |
| VENOMAVE: Clean-label poisoning against speech recognition H Aghakhani, T Eisenhofer, L Schönherr, D Kolossa, T Holz, C Kruegel, ... Secure and Trustworthy Machine Learning (SatML), 2023 | 28* | 2023 |
| Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification S Däubener, L Schönherr, A Fischer, D Kolossa INTERSPEECH, 2020 | 20 | 2020 |
| CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models H Hajipour, K Hassler, T Holz, L Schönherr, M Fritz Secure and Trustworthy Machine Learning (SatML), 2024 | 16* | 2024 |
| Llm-deliberation: Evaluating llms with interactive multi-agent negotiation games S Abdelnabi, A Gomaa, S Sivaprasad, L Schönherr, M Fritz arXiv preprint arXiv:2309.17234, 2023 | 14 | 2023 |
| Drone Security and the Mysterious Case of DJI's DroneID. N Schiller, M Chlosta, M Schloegel, N Bars, T Eisenhofer, T Scharnowski, ... NDSS, 2023 | 14 | 2023 |
| Environmentally robust audio-visual speaker identification L Schönherr, D Orth, M Heckmann, D Kolossa IEEE Spoken Language Technology Workshop (SLT), 2016 | 10 | 2016 |
| Privacy-Preserving Feature Extraction for Cloud-Based Wake Word Verification AN Timm Koppelmann, L Schönherr, D Kolossa, R Martin INTERSPEECH, 2021 | 6 | 2021 |
| Clustering-based Wake Word Detection in Privacy-aware Acoustic Sensor Networks T Koppelmann, L Becker, A Nelus, R Glitza, L Schönherr, R Martin Proc. Interspeech 2022, 719-723, 2022 | 4 | 2022 |
| On the Limitations of Model Stealing with Uncertainty Quantification Models D Pape, S Däubener, T Eisenhofer, AE Cinà, L Schönherr European Symposium on Artificial Neural Networks, Computational Intelligence …, 2023 | 2 | 2023 |
| Whispers in the Machine: Confidentiality in LLM-integrated Systems J Evertz, M Chlosta, L Schönherr, T Eisenhofer arXiv preprint arXiv:2402.06922, 2024 | 1 | 2024 |
| A Representative Study on Human Detection of Artificially Generated Media Across Countries J Frank, F Herbert, J Ricker, L Schönherr, T Eisenhofer, A Fischer, ... IEEE Security & Privacy (S&P), 2024 | 1 | 2024 |
| Spoofing detection via simultaneous verification of audio-visual synchronicity and transcription L Schönherr, S Zeiler, D Kolossa IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2017 | 1 | 2017 |
| -zero: Gradient-based Optimization of -norm Adversarial Examples AE Cinà, F Villani, M Pintor, L Schönherr, B Biggio, M Pelillo arXiv preprint arXiv:2402.01879, 2024 | | 2024 |
| Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams B Acharya, M Saad, AE Cinà, L Schönherr, HD Nguyen, A Oest, ... IEEE Security & Privacy (S&P), 2024 | | 2024 |
Dorothea KolossaTechnische Universität BerlinVerified email at tu-berlin.de
