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Despite advances in AI alignment, large language models (LLMs) remain vulnerable to adversarial attacks or jailbreaking, in which adversaries can modify prompts to induce unwanted behavior.

AI platforms offering first-line mental health support have proliferated in Nigeria, where health services are sparse and underfunded. AI platforms offering first-line mental health support have proliferated in Nigeria, where health services are sparse and underfunded. 'At 2am, it feels like someone's there': why Nigerians are choosing chatbots to give them advice and therapy O n a quiet evening in her Abuja hotel, Joy Adeboye, 23, sits on her bed clutching her phone, her mind racing and chest tightening. On her screen is yet another abusive message from her stalker - a man she had met nine months earlier at her church. He had asked Adeboye out; when she declined, he began sending her intimidating, insulting and blackmailing messages on social media, as well as spreading false information about her online.

Our proposed DropCov can be flexibly integrated with existing deep architectures (e.g., CNNs [ Qinghua Hu is the corresponding author and is with Engineering Research Center of City intelligence and Digital Governance, Ministry of Education of the People's Republic of China. VGG-VD on three small-scale fine-grained datasets) show 0.5 is the best choices of As listed in Table S2, we can see that single L T module brings a little gain for plain GCP . Compared to B-CNN + L T (79.62% training accuracy), plain GCP GCP + L T, while B-CNN + L T achieves significant improvement over B-CNN and plain GCP . On the contrary, the samples involving less redundant information (e.g., scene) have large Such these phenomena show the consistency with our finding. Is second-order information helpful for large-scale visual recognition?