Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T16:59:11.757096Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 100 of 114 outbound references and 12 inbound Pith citation observations for arXiv:2412.09565.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T16:59:11.757096Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
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100 of 114 outbound references displayed
External citation measurements
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arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Observation 68e024db-1330-4e5a-bfcf-67b34c5a4177 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Adversarial Example Detection Using Latent Neighborhood Graph
Reference 1
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Observation a15f435f-53d3-4836-9e1b-7165bb085139 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Understanding intermediate layers using linear classifier probes
Reference 2
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Observation cf1a5bce-f3b6-451a-ad7b-0dceb4d66add · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Trace and Detect Adversarial Attacks on CNNs Using Feature Response Maps
Reference 3
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Observation 3240d49e-82f2-419e-bd48-bfa035f25a40 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks
Reference 4
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Observation 06df9536-17a1-4d1d-b201-d6e04cd5807c · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Many-shot jailbreaking
Reference 5
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Observation 97645858-2052-4b3a-9109-d47e732b2347 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Foundational Challenges in Assuring Alignment and Safety of Large Language Models
Reference 6
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Observation 519b6e9c-ebb2-4eb6-a6b1-13471d8a5e85 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Refusal in Language Models Is Mediated by a Single Direction
Reference 7
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Observation 71d468cf-5ecc-4165-878b-bcb8161445b8 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Reference 8
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Observation 64ce84d3-843d-44f8-abed-738d2280498d · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses sql-create-context Dataset , 2023
Reference 9
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Observation 65eae594-778f-44e5-b6be-372c71ee8da4 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Understanding Jailbreak Success: A Study of Latent Space Dynamics in Large Language Models
Reference 10
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Observation c94f3d3e-9e2a-4317-8b26-45639e4690ba · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Probing Classifiers: Promises, Shortcomings, and Advances
Reference 11
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Observation 197b6a51-0ff5-4e50-9f2f-05d50839b840 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Eliciting Latent Predictions from Transformers with the Tuned Lens
Reference 12
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Observation 08a2e4f6-395b-4409-bea1-9f34b18d69c4 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
Reference 13
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Observation ffce4e76-104b-434c-a5ef-1ad91f34c22f · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses A Sober Look at Steering Vectors for LLMs
Reference 14
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Observation 45050759-71dc-4317-9a46-bb5668b90c15 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Towards Monosemanticity: Decomposing Language Models With Dictionary Learning
Reference 15
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Observation 8819b7ad-8e30-4e95-a02c-f2b8238a7934 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Using Dictionary Learning Features as Classifiers , October 2024
Reference 16
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Observation cb396376-fd62-4751-b087-2c1cda20bd0c · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Comparing Bottom-Up and Top-Down Steering Approaches on In-Context Learning Tasks
Reference 17
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Observation b87dc70c-aa49-4ea9-95b5-505af1aba19a · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Discovering Latent Knowledge in Language Models Without Supervision
Reference 18
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Observation 94d62af0-14e1-4c89-8257-1b6bede1170e · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Reference 19
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Observation b6214e8e-c1ab-455f-93f3-baca9257afdd · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Are aligned neural networks adversarially aligned? Advances in Neural Information Processing Systems, 36, 2024
Reference 20
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Observation a2c190ff-a895-4917-b1a8-5f0dec926f57 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Defending Against Unforeseen Failure Modes with Latent Adversarial Training
Reference 21
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Observation f58b91f1-5a00-4ec5-b371-89dcf355a42e · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders
Reference 22
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Observation 9ce3b649-da44-426e-b3d4-a55a84d87665 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Jailbreaking Black Box Large Language Models in Twenty Queries
Reference 23
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Observation 5847f4b0-f741-4eb6-92f2-120231a1d30e · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Code Alpaca: An Instruction-following LLaMA model for code generation
Reference 24
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Observation e02dce06-f80f-453a-817e-c42acaef0390 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Srivastava
Reference 25
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Observation 3920e612-80c2-46a9-b7e9-6b9fc7469e2d · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks
Reference 26
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Observation c8d70fba-391f-483a-b470-b4af80013364 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Reference 27
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Observation 4b24aece-0821-4cc7-8831-a68c3773d40b · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Poser: Unmasking Alignment Faking LLMs by Manipulating Their Internals
Reference 28
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Observation 4e8e58a9-7bc7-42f5-9dd1-d59622dfbfc5 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Sparse Autoencoders Find Highly Interpretable Features in Language Models
Reference 29
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Unavailable: canonical work link unavailable.
Observation 0eaf2520-952d-4e82-bd08-1b03eda895bb · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
Reference 30
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Observation f29247ee-e7fb-4180-a7eb-b8ad1cdfddde · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
Reference 31
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Observation ca21f569-dbf6-48ec-aead-d1d372431b20 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Backdoor Attack with Imperceptible Input and Latent Modification
Reference 32
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Observation a7848329-05a0-4ac2-94bb-a317b014d96d · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Detecting Adversarial Samples from Artifacts
Reference 33
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Observation 7a2707ae-d2d4-476b-ae45-71f39a7017a6 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness
Reference 34
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Observation 6116d3e7-b668-47a1-b5ab-62ef0ec4e3bb · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Interpretability Illusions in the Generalization of Simplified Models
Reference 35
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Observation 98bd1a90-addd-46e8-8b3e-c924b1990fa4 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Erasing Conceptual Knowledge from Language Models
Reference 36
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Observation 860f0c13-9fde-4212-9dd7-df8718b74178 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Scaling and evaluating sparse autoencoders
Reference 37
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Observation dde99bc3-fe29-495b-80c5-0f79fb43780c · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses STRIP: a defence against trojan attacks on deep neural networks
Reference 38
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Observation 71325723-ed92-47ed-b556-ae14f38b4bc1 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Coercing LLMs to do and reveal (almost) anything
Reference 39
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Observation aadfe69c-ffee-4088-8934-c09dd1de9cb6 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Planting Undetectable Backdoors in Machine Learning Models
Reference 40
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Observation 6bb9200b-ef2d-423a-8ae8-a97217837e3c · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses On the (Statistical) Detection of Adversarial Examples
Reference 41
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Observation e1aebca0-e941-4ae0-ad46-6c4b341e1fbb · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Automated Multi-Turn Red-Teaming with Cascade , October 2024
Reference 42
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Observation 72dc18e0-40be-43c5-b389-02f6512f8397 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
Reference 43
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Observation c74993d0-9e8e-482f-926f-6cdf3cc75bc3 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Backdoors as an analogy for deceptive alignment , 2024
Reference 44
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Observation fe9d3e11-6cee-4b89-a887-085a6ae0cc40 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Are Odds Really Odd? Bypassing Statistical Detection of Adversarial Examples
Reference 45
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Observation 2c63efb2-9cdd-4a50-8b2d-3043cbbbd4ae · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses LoRA: Low-Rank Adaptation of Large Language Models
Reference 46
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Observation 094286f2-0ad5-47d3-b92f-8a6c53e2d4f5 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Gradient hacking
Reference 47
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Observation f9a2a7a4-ce46-4277-9f75-39cec7a8164d · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Reference 48
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Observation c093c635-2b6c-4879-8aa7-3b2d805c3683 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses What Makes and Breaks Safety Fine-tuning? A Mechanistic Study
Reference 49
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Observation 2de280a7-46c0-4a80-9330-481447e77ecb · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning
Reference 50
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Observation 160d0496-f335-4607-bffa-7be83ac0c2ef · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Jailbreakzoo: Survey, landscapes, and horizons in jailbreaking large language and vision-language models
Reference 51
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Observation f21a9e4f-f192-4b56-9ac5-3b90093d910f · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Generating Distributional Adversarial Examples to Evade Statistical Detectors
Reference 52
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Observation e79d9321-d92d-4459-9f02-ce14416434a9 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Auto-Encoding Variational Bayes
Reference 53
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Observation ee330ea4-a785-4e82-af08-da58f53f3718 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses What Features in Prompts Jailbreak LLMs? Investigating the Mechanisms Behind Attacks
Reference 54
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Observation 36ff46fd-7f63-4936-a35c-3f3f48fdfdeb · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses SAEs (usually) Transfer Between Base and Chat Models
Reference 55
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Observation b01c08d5-4388-4694-9a2a-29a141fc57bf · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses The Power of Scale for Parameter-Efficient Prompt Tuning
Reference 56
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Observation 5115691c-caaf-4891-9db6-e8b3d5780a03 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet
Reference 57
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Observation 24e45150-6e19-416c-b93d-3936fc5af50b · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics
Reference 58
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Observation cc526e77-b464-4c21-b3d7-569ca5bde8fa · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning
Reference 59
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Observation 5a353bad-f017-47ec-beb5-637d5233e086 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2
Reference 60
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Observation 84d0be1d-efd5-47e1-80cf-6b0177c47886 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Neuronpedia: Interactive Reference and Tooling for Analyzing Neural Networks , 2023
Reference 61
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Observation 8fb9a391-e95c-462a-963e-a525e7c51870 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models
Reference 62
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Observation 972924e2-e936-4619-bc0f-b3e58303615e · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Piccolo: Exposing Complex Backdoors in NLP Transformer Models
Reference 63
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Observation 9f89346a-2820-491a-92b0-d56708a8f09e · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses The "Beatrix'' Resurrections: Robust Backdoor Detection via Gram Matrices
Reference 64
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Observation eb21202b-0928-4cdb-9708-79ae06d21e29 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
Reference 65
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Observation 0af454d7-7518-439a-b9d9-1c1ee6580c89 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Simple probes can catch sleeper agents
Reference 66
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Observation 1ac81dae-25c1-4374-a378-f22950205d7d · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Deep Causal Transcoding: A Framework for Mechanistically Eliciting Latent Behaviors in Language Models
Reference 67
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Observation d3f132ba-7d39-4524-a8da-f8b6a80a6b02 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Unresolved cited work
Reference 68
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Observation 060896e8-446b-4d6d-95a2-555d291a6863 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching
Reference 69
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Observation 6381687a-f8ba-4fe1-98c4-bfc07fdeca29 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Eliciting Latent Knowledge from Quirky Language Models
Reference 70
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Observation 8f9b3ec4-de69-4a3d-8543-91cd9cea82ca · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets
Reference 71
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Observation a5381cfd-d3ce-4df9-8b8c-c0397fdf949b · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
Reference 72
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Observation 60eaeec0-91c2-469c-b1cb-9fb6d79a4b1b · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses On Detecting Adversarial Perturbations
Reference 73
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Observation 926200f6-1a52-47bf-acbe-95fadef3d622 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Steering Llama 2 via Contrastive Activation Addition
Reference 75
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Observation 6d81f312-e153-4cf1-b700-1b9e621a2301 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection
Reference 76
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Observation f26cb0aa-e5c2-403d-bdb1-00ccba7e67ed · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Future Events as Backdoor Triggers: Investigating Temporal Vulnerabilities in LLMs
Reference 77
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Observation d011d69b-c5e1-42d3-b97b-182d9f2f4046 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Circumventing Backdoor Defenses That Are Based on Latent Separability
Reference 78
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Observation 0d515b3b-34d8-4400-af3f-a065dbdc9047 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses A General Framework For Detecting Anomalous Inputs to DNN Classifiers
Reference 79
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Observation 94794b8a-9fe5-48aa-937b-9906fb19ad23 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Representation Noising: A Defence Mechanism Against Harmful Finetuning
Reference 80
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Observation 7b96c86c-c1e5-4224-944f-0a0c50d0ed41 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models
Reference 81
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Observation b57e636d-449d-4f02-b514-2a7b3bb47cda · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Public comment: Robustness evaluation seems invalid , 2024
Reference 82
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Observation 07c7a426-0484-4dd1-883e-d3af608ed365 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Revisiting the Robust Alignment of Circuit Breakers
Reference 83
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Observation b559814d-bf1f-4f1b-ba82-4beb643b4ba5 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Circumventing interpretability: How to defeat mind-readers
Reference 84
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Observation ac3eb96e-f440-4bf5-9fec-23fd00fcebe3 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks
Reference 85
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Observation 379e0092-c038-46bc-ba94-95b0b9927df2 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses A Survey on Backdoor Attack and Defense in Natural Language Processing
Reference 86
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Observation bb6e60a6-6a20-40f9-9315-c36b3ce69e79 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs
Reference 87
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Observation ca3f3d39-4dfc-4eba-bcab-548c2544b76f · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses A StrongREJECT for Empty Jailbreaks
Reference 88
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Observation 01d15feb-b7a8-4d0b-94b8-629a9cb20710 · outbound
Obfuscated Activations Bypass LLM Latent-Space Defenses Few-shot out of domain intent detection with covariance corrected Mahalanobis distance , 2023
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