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LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked [PDF]
Tiny Papers @ ICLR, 2023 Large language models (LLMs) are popular for high-quality text generation but can produce harmful content, even when aligned with human values through reinforcement learning. Adversarial prompts can bypass their safety measures.
Alec Helbling +4 more
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Promotion de la santé et prévention des maladies chroniques au Canada, 2022 IntroductionEn raison des répercussions sans précédent de la COVID-19, il est nécessaire de réaliser des études visant à évaluer les défis et les facteurs de stress liés à la pandémie.
Jennifer E.C. Lee +11 more
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DHODH-mediated ferroptosis defense is a targetable vulnerability in cancer
Nature, 2021 Ferroptosis, a form of regulated cell death that is induced by excessive lipid peroxidation, is a key tumour suppression mechanism1–4. Glutathione peroxidase 4 (GPX4)5,6 and ferroptosis suppressor protein 1 (FSP1)7,8 constitute two major ferroptosis ...
Chao Mao +12 more
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Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks [PDF]
IEEE Symposium on Security and Privacy, 2015 Deep learning algorithms have been shown to perform extremely well on many classical machine learning problems. However, recent studies have shown that deep learning, like other machine learning techniques, is vulnerable to adversarial samples: inputs ...
Nicolas Papernot +4 more
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LES ENJEUX DE LA REFORME DE L’ARMÉE EN RÉPUBLIQUE DÉMOCRATIQUE DU CONGO : Les leçons de l’échec d’un processus ambitieux [PDF]
Cahiers Africains des Droits de l’Homme et de la Démocratie ainsi que du Développement Durable, 2023 L’environnement international est en très forte évolution face à une recrudescence des menaces. Les technologies bouleversent les sociétés et les règles établies, rendant cruciale la modernisation des Forces Armées en les dotant des aptitudes de répondre
Giscard LUNDA KITOMPA
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Antioxidants, 2020 Global climate change and associated adverse abiotic stress conditions, such as drought, salinity, heavy metals, waterlogging, extreme temperatures, oxygen deprivation, etc., greatly influence plant growth and development, ultimately affecting crop yield
M. Hasanuzzaman +7 more
semanticscholar +1 more source
A Flexible Deep Learning Method for Energy Forecasting
Energies, 2022 Load prediction with higher accuracy and less computing power has become an important problem in the smart grids domain in general and especially in demand-side management (DSM), as it can serve to minimize global warming and better integrate renewable ...
Ihab Taleb +3 more
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Abiotic Stress and Reactive Oxygen Species: Generation, Signaling, and Defense Mechanisms
Antioxidants, 2021 Climate change is an invisible, silent killer with calamitous effects on living organisms. As the sessile organism, plants experience a diverse array of abiotic stresses during ontogenesis.
Swati Sachdev +4 more
semanticscholar +1 more source
La politique nationale de défense de la RD. Congo : analyse et perspectives [PDF]
Mouvements et Enjeux Sociaux, 2023 L'objectif de cet article consiste à présenter, analyser et comprendre la manière dont la politique nationale de défense contribue à la montée en puissance des forces armées congolaises en particulier et des autres institutions de l’architecture de ...
John KASUKU MIHALI +1 more
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Isolated Areas Consumption Short-Term Forecasting Method
Energies, 2021 Forecasting consumption in isolated areas represents a challenging problem typically resolved using deep learning or huge mathematical models with various dimensions. Those models require expertise in metering and algorithms and the equipment needs to be
Guillaume Guerard +2 more
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