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class:gradsec2026 [2026/05/27 12:05] hanwoo [Agenda] |
class:gradsec2026 [2026/06/15 11:25] (current) hanwoo [Agenda] |
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| | ::: | Kwak | [[https://arxiv.org/pdf/1910.00033 |Hidden Trigger Backdoor Attacks]] | {{ :class:hidden_trigger_backdoor_attacks.pdf |}} | | | | ::: | Kwak | [[https://arxiv.org/pdf/1910.00033 |Hidden Trigger Backdoor Attacks]] | {{ :class:hidden_trigger_backdoor_attacks.pdf |}} | | | ||
| | 5/20 | Kwak | [[https://arxiv.org/pdf/2012.07805 |Extracting Training Data from Large Language Models]] | {{ :class:extracting_training_data_from_large_language_models_2_.pdf|pdf}} | | | | 5/20 | Kwak | [[https://arxiv.org/pdf/2012.07805 |Extracting Training Data from Large Language Models]] | {{ :class:extracting_training_data_from_large_language_models_2_.pdf|pdf}} | | | ||
| - | | ::: | Jo | [[https://www.ndss-symposium.org/wp-content/uploads/2026-f797-paper.pdf]] | | | | + | | ::: | Jo | [[https://www.ndss-symposium.org/wp-content/uploads/2026-f797-paper.pdf]] |{{ :class:발표자료_조현준.pptx |}}| | |
| | 5/27 | Jo | | | | | | 5/27 | Jo | | | | | ||
| | ::: | Han | [[https://arxiv.org/pdf/2307.02483.pdf|Jailbroken-How Does LLM Safety Training Fail]] | {{ :class:jailbroken-how_does_llm_safety_training_fail.pdf |발표자료}} | | | | ::: | Han | [[https://arxiv.org/pdf/2307.02483.pdf|Jailbroken-How Does LLM Safety Training Fail]] | {{ :class:jailbroken-how_does_llm_safety_training_fail.pdf |발표자료}} | | | ||
| - | | 6/5 | Kwak | | | | | + | | 6/5 | Kwak | [[https://arxiv.org/pdf/2010.08138.pdf|Input-Aware Dynamic Backdoor Attack ]] | {{ :class:input-aware_dynamic_backdoor_attack.pdf |}} | | |
| | 6/10 | No Class | | | | | | 6/10 | No Class | | | | | ||
| ====== Class Information ====== | ====== Class Information ====== | ||
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| ==== C4. LLM Security & Jailbreaking ==== | ==== C4. LLM Security & Jailbreaking ==== | ||
| - | - **Jailbroken: How Does LLM Safety Training Fail?** | + | - <fc red>(Han)</fc> **Jailbroken: How Does LLM Safety Training Fail?** |
| * Alexander Wei et al., NeurIPS 2023 | Pages: 34 | Difficulty: 3/5 | * Alexander Wei et al., NeurIPS 2023 | Pages: 34 | Difficulty: 3/5 | ||
| * Abstract: Analyzes why safety training in LLMs can be circumvented through jailbreaking. Identifies two fundamental failure modes: competing objectives during training and mismatched generalization between safety and capabilities. Provides theoretical framework for understanding jailbreak vulnerabilities and suggests that current alignment approaches have inherent limitations. | * Abstract: Analyzes why safety training in LLMs can be circumvented through jailbreaking. Identifies two fundamental failure modes: competing objectives during training and mismatched generalization between safety and capabilities. Provides theoretical framework for understanding jailbreak vulnerabilities and suggests that current alignment approaches have inherent limitations. | ||
class/gradsec2026.1779858319.txt.gz · Last modified: 2026/05/27 12:05 by hanwoo · [Old revisions]
