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  1. Evaluating the Robustness of Neural Networks: An Extreme Value...

    Feb 15, 2018 · Our analysis yields a novel robustness metric called CLEVER, which is short for Cross Lipschitz Extreme Value for nEtwork Robustness. The proposed CLEVER score is …

  2. 579 In this paper, we have proposed a novel counter- factual framework CLEVER for debiasing fact- checking models. Unlike existing works, CLEVER is augmentation-free and mitigates …

  3. Leaving the barn door open for Clever Hans: Simple features …

    Dec 31, 2023 · This phenomenon, widely known in human and animal experiments, is often referred to as the 'Clever Hans' effect, where tasks are solved using spurious cues, often …

  4. While, as we mentioned earlier, there can be thorny “clever hans” issues about humans prompting LLMs, an automated verifier mechanically backprompting the LLM doesn’t suffer from these. …

  5. te the CLEVER scores for the same set of images and attack targets. To the best of our knowledge, CLEVER is the first attack-independent robustness score that is capable of …

  6. From Control Application to Control Logic: PLC Decompile …

    Jan 1, 2024 · To address the challenge, we propose a PLC decompile framework named CLEVER, which can analyze the control application and extract the control logic. First, we …

  7. Submissions | OpenReview

    Jan 22, 2025 · Leaving the barn door open for Clever Hans: Simple features predict LLM benchmark answers Lorenzo Pacchiardi, Marko Tesic, Lucy G Cheke, Jose Hernandez-Orallo …

  8. Learnable Representative Coefficient Image Denoiser for...

    Dec 31, 2023 · Fully characterizing the spatial-spectral priors of hyperspectral images (HSIs) is crucial for HSI denoising tasks. Recently, HSI denoising models based on representative …

  9. LENFusion: A Joint Low-Light Enhancement and Fusion Network …

    Jan 1, 2024 · The enhancement is performed in two stages. In the initial stage, LAN applies adaptive luminance adjustment to the original visible image. Subsequently, RFN achieves …

  10. en prediction objectives for basic graph navigation tasks. In particular, 114 the work identifies a Clever-Hans cheat based on shortcuts in teacher forced training similar to theo- 15 retical …