Why is Israel still in southern Lebanon? A war to shape Lebanon's future How many countries has Israel attacked in 2025? Israel has attacked more countries than any other country this year. In 2025, Israel attacked at least six countries, including Palestine, Iran, Lebanon, Qatar, Syria, and Yemen. It also carried out strikes in Tunisian, Maltese and Greek territorial waters on aid flotillas heading for Gaza.

The first is a traditional Label Attack, tricking VLMs into misidentifying class labels, such as confusing Donald Trump for Joe Biden.

We thank the reviewers for all of these valuable comments. We provide point by point responses below. We will provide more discussions in the revision. Q3: "...why the authors did not choose all the tasks used in the COMA paper ..." A: Actually, all these settings are based on the SMAC framework. Q4: "...deeper analyses of the learned intrinsic reward..." A: 'attack' when the corresponding HP's are lower than We will include these discussions in the revision.

It not only has high success rate, but seems more natural compared with common physical attacks in the perspective of the probability to catch people's attention. As mentioned in Section 3.1, moiré pattern can be a potential threat to DNNs. However, it hardly arouses humans' attention when it is inevitably generated through shooting on the LCD screens, It is also the exact precondition and motivation of the proposed MA. We strictly follow the same procedure in our simulation of moiré pattern. We find that the synthesis images are darker and distorted to some degree compared with the original ones.

While Large Language Models (LLMs) display versatile functionality, they continue to generate harmful, biased, and toxic content, as demonstrated by the prevalence of human-designed jailbreaks. In this work, we present Tree of Attacks with Pruning (TAP), an automated method for generating jailbreaks that only requires black-box access to the target LLM. TAP utilizes an attacker LLM to iteratively refine candidate (attack) prompts until one of the refined prompts jailbreaks the target. In addition, before sending prompts to the target, TAP assesses them and prunes the ones unlikely to result in jailbreaks, reducing the number of queries sent to the target LLM. In empirical evaluations, we observe that TAP generates prompts that jailbreak state-of-the-art LLMs (including GPT4-Turbo and GPT4o) for more than 80% of the prompts.

State-of-the-art deep learning models for tabular data have recently achieved acceptable performance to be deployed in industrial settings. However, the robustness of these models remains scarcely explored. Contrary to computer vision, there are no effective attacks to properly evaluate the adversarial robustness of deep tabular models due to intrinsic properties of tabular data, such as categorical features, immutability, and feature relationship constraints. To fill this gap, we first propose CAPGD, a gradient attack that overcomes the failures of existing gradient attacks with adaptive mechanisms. This new attack does not require parameter tuning and further degrades the accuracy, up to 81\% points compared to the previous gradient attacks.

Israeli forces killed at least nine Palestinians in Gaza in strikes on Saturday, according to the Gaza health ministry, the latest in a string of Israeli attacks on the enclave that have kept up despite a roughly two-month-old truce with Hamas. Since the cease-fire went into effect in mid-January, the military has conducted constant strikes in Gaza. Israel has accused militants of threatening its forces by laying explosive devices, flying drones or by approaching where Israeli troops are deployed. Hamas has claimed those attacks have killed more than 150 people since the truce took effect, at least some of them civilians. And it has accused Israel of repeatedly violating the agreement by continuing military operations.