Papers by Marine Picot
Toward Stronger Textual Attack Detectors (2023.findings-emnlp)
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| Challenge: | despite the high performance of deep learning techniques, trained models remain vulnerable to adversarial attacks . authors present LAROUSSE, STAKEOUT and other approaches to detect adversarials . LARousSE is unsupervised, hyperparameter free and non-differentiable . |
| Approach: | They propose a framework to detect adversarial attacks and an extended benchmark to test them . they demonstrate that LAROUSSE outperforms previous methods and allows to identify interesting factor of detection rate variations. |
| Outcome: | The proposed framework outperforms existing methods and allows to identify interesting factor of detection rate variations. |
Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation (2024.emnlp-main)
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| Challenge: | Neural Machine Translation (NMT) systems suffer from various pathologies, including the generation of translations that are detached from the source content, typically known as hallucinations. |
| Approach: | They propose to combine detectors and introduce a method for aggregating detectors to detect hallucinations. |
| Outcome: | The proposed method provides a promising step towards evermore reliable machine translation systems. |